LIONS publications
2025
Machine learning-aided hysteretic response prediction of double skin composite wall under earthquake loads
Journal of Building Engineering. 2025. Vol. 101, p. 111837. DOI : 10.1016/j.jobe.2025.111837.2024
SAMPa: Sharpness-aware Minimization Parallelized
38th Annual Conference on Neural Information Processing Systems, Vancouver, BC, Canada, 2024-12-10 – 2024-12-15.Membership Inference Attacks against Large Vision-Language Models
2024. 38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, 2024-12-10 – 2024-12-15.REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21.Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21.Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Journal of Machine Learning Research. 2024. Vol. 25.Truly No-Regret Learning in Constrained MDPs
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21. p. 36605 – 36653.Mixed Nash for Robust Federated Learning
Transactions on Machine Learning Research. 2024. Vol. 02.Universal Gradient Methods for Stochastic Convex Optimization
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21.Learning to Remove Cuts in Integer Linear Programming
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Multilinear Operator Networks
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 2024-05-07 – 2024-05-11.Improving SAM Requires Rethinking its Optimization Formulation
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Revisiting Character-level Adversarial Attacks for Language Models
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.On the Generalization of Stochastic Gradient Descent with Momentum
Journal Of Machine Learning Research. 2024. Vol. 25, p. 1 – 56.Graph generative deep learning models with an application to circuit topologies
Lausanne, EPFL, 2024.Efficient Continual Finite-Sum Minimization
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Imitation Learning in Discounted Linear MDPs without exploration assumptions
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Robust NAS under adversarial training: benchmark, theory, and beyond
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Generalization of Scaled Deep ResNets in the Mean-Field Regime
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Efficient local linearity regularization to overcome catastrophic overfitting
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.2023
Linear Complexity Self-Attention With 3rd Order Polynomials
Ieee Transactions On Pattern Analysis And Machine Intelligence. 2023. Vol. 45, num. 11, p. 12726 – 12737. DOI : 10.1109/TPAMI.2022.3231971.Stable Nonconvex-Nonconcave Training via Linear Interpolation
2023. Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, Louisiana, USA, December 10-16, 2023.A unified stochastic approximation framework for learning in games
Mathematical Programming. 2023. Vol. 203, num. 1-2, p. 559 – 609. DOI : 10.1007/s10107-023-02001-y.End-to-end kernel learning via generative random Fourier features
Pattern Recognition. 2023. Vol. 134, p. 109057. DOI : 10.1016/j.patcog.2022.109057.What can online reinforcement learning with function approximation benefitfrom general coverage conditions
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Augmented Lagrangian Methods for Provable and Scalable Machine Learning
Lausanne, EPFL, 2023.Maximum Independent Set: Self-Training through Dynamic Programming
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023)., New Orlean, USA, December 10-16. 2023.Distributed Extra-Gradient With Optimal Complexity And Communication Guarantees
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Revisiting adversarial training for the worst-performing class
Transactions on Machine Learning Research. 2023.When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 23-29, 2023.Federated Learning under Covariate Shifts with Generalization Guarantees
Transactions on Machine Learning Research. 2023. num. 06.Adversarial Training Should Be Cast As a Non-Zero-Sum Game
2023
Solving stochastic weak Minty variational inequalities without increasing batch size
11th International Conference on Learning Representations ICLR2023, Kigali, Rwanda, May 1-5, 2023.Finding Actual Descent Directions For Adversarial Training
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Alternation makes the adversary weaker in two-player games
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.Regularization of polynomial networks for image recognition
2023. Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 18-22 June, 2023.Robust Training and Verification of Deep Neural Networks
Lausanne, EPFL, 2023.Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.On the Convergence of Encoder-only Shallow Transformers
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.Efficient Online Clustering with Moving Costs
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.Regularization of polynomial networks for image recognition
2023. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 16123 – 16132. DOI : 10.1109/CVPR52729.2023.01547.Benign Overfitting in Deep Neural Networks under Lazy Training
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Universal and adaptive methods for robust stochastic optimization
Lausanne, EPFL, 2023.DiGress: Discrete Denoising diffusion for graph generation
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Improving Generalization of Pretrained Language Models
Lausanne, EPFL, 2023.Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.2022
A Computational Turn in Policy Process Studies: Coevolving Network Dynamics of Policy Change
Complexity. 2022. Vol. 2022, p. 8210732. DOI : 10.1155/2022/8210732.Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
2022. 10th International Conference on Learning Representations (ICLR 2022), Virtual, April 25-29, 2022.Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisianna, USA, November 28-December 9, 2022.ADAGRAD Avoids Saddle Points
2022. 38th International Conference on Machine Learning (ICML), Baltimore, MD, Jul 17-23, 2022. p. 731 – 771.Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
2022. 38th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.A Natural Actor-Critic Framework for Zero-Sum Markov Games
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.Sound and Complete Verification of Polynomial Networks
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.Proximal Point Imitation Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.On the Double Descent of Random Features Models Trained with SGD
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 – December 3, 2022.Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS
IEEE Journal of Solid-State Circuits. 2022. p. 1 – 1. DOI : 10.1109/JSSC.2022.3161296.High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Predicting in Uncertain Environments: Methods for Robust Machine Learning
Lausanne, EPFL, 2022.Extra Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.Augmenting Deep Classifiers with Polynomial Neural Networks
2022. 17th European Conference on Computer Vision (ECCV), Tel Aviv, ISRAEL, Oct 23-27, 2022. p. 692 – 716. DOI : 10.1007/978-3-031-19806-9_40.The spectral bias of polynomial neural networks
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Learning to sample in Cartesian MRI
Lausanne, EPFL, 2022.On The Convergence Of Stochastic Primal-Dual Hybrid Gradient
Siam Journal On Optimization. 2022. Vol. 32, num. 2, p. 1288 – 1318. DOI : 10.1137/19M1296252.Understanding Deep Neural Function Approximation in Reinforcement Learning via ϵ-Greedy Exploration
2022. Thirty-sixth Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
2022. 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), [ Virtual only] Valencia, Spain, March 28-30, 2022.Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
2022. 36th Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.Generalization Properties of NAS under Activation and Skip Connection Search
2022. 36th Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 – December 9, 2022.A Newton Frank-Wolfe method for constrained self-concordant minimization
Journal Of Global Optimization. 2022. Vol. 83, p. 273 – 299. DOI : 10.1007/s10898-021-01105-z.2021
Filling gaps in trustworthy development of AI
Science. 2021. Vol. 374, num. 6573, p. 1327 – 1329. DOI : 10.1126/science.abi7176.Forward-reflected-backward method with variance reduction
Computational Optimization and Applications. 2021. Vol. 80, p. 321 – 346. DOI : 10.1007/s10589-021-00305-3.A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS
2021. 2021 IEEE Custom Integrated Circuits Conference (CICC), Virtual, April 25-30, 2021. DOI : 10.1109/CICC51472.2021.9431458.Tensor Methods in Computer Vision and Deep Learning
Proceedings Of The Ieee. 2021. Vol. 109, num. 5, p. 863 – 890. DOI : 10.1109/JPROC.2021.3074329.Sifting through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities
2021. NeurIPS 2021 : Thirty-fifth Conference on Neural Information Processing Systems, Sydney, Australia [Virtual only], December 6-14, 2021.A Plug-and-Play Deep Image Prior
2021. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021. DOI : 10.1109/ICASSP39728.2021.9414879.Unsupervised Controllable Generation with Self-Training
2021. International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, China, Jul 18-22, 2021. DOI : 10.1109/IJCNN52387.2021.9534045.Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond
Lausanne, EPFL, 2021.Sparse non-negative super-resolution – simplified and stabilised
Applied And Computational Harmonic Analysis. 2021. Vol. 50, p. 216 – 280. DOI : 10.1016/j.acha.2019.08.004.The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
2021. 38th International Conference on Machine Learning (ICML 2021), Online, July 18-24, 2021. p. 4337 – 4348.The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Scalable Semidefinite Programming
SIAM Journal on Mathematics of Data Science. 2021. Vol. 3, num. 1, p. 171 – 200. DOI : 10.1137/19M1305045.Resource Trade-Offs in Circuits and Systems: from Neurotechnology to Communications
Lausanne, EPFL, 2021.A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators
Set-valued and Variational analysis. 2021. Vol. 29, p. 163 – 174. DOI : 10.1007/s11228-020-00542-4.A first-order primal-dual method with adaptivity to local smoothness
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity
Siam Journal On Optimization. 2021. Vol. 31, num. 4, p. 2695 – 2725. DOI : 10.1137/19M1244603.Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Convergence of adaptive algorithms for constrained weakly convex optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Kernel Conjugate Gradient Methods with Random Projections
Applied and Computational Harmonic Analysis. 2021. Vol. 55, p. 223 – 269. DOI : 10.1016/j.acha.2021.05.004.An Introductory Guide to Fano’s Inequality with Applications in Statistical Estimation
Information-Theoretic Methods in Data Science; Cambridge University Press, 2021. p. 487 – 528.Asynchronous sar adc with unit length capacitors and constant common mode monotonic switching
WO2021161163.
2021.Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
2021. International Conference on Machine Learning (ICML), ELECTR NETWORK, Jul 18-24, 2021.Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials
2021. 18th IEEE/CVF International Conference on Computer Vision (ICCV), ELECTR NETWORK, Oct 11-17, 2021. p. 10498 – 10508. DOI : 10.1109/ICCV48922.2021.01035.Subquadratic Overparameterization for Shallow Neural Networks
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020
MOSES: A Streaming Algorithm for Linear Dimensionality Reduction
Ieee Transactions On Pattern Analysis And Machine Intelligence. 2020. Vol. 42, num. 11, p. 2901 – 2911. DOI : 10.1109/TPAMI.2019.2919597.Amphiphilic gold nanoparticles perturb phase separation in multidomain lipid membranes
Nanoscale. 2020. Vol. 12, num. 38, p. 19746 – 19759. DOI : 10.1039/d0nr05366j.An AC-Coupled Wideband Neural Recording Front-End With Sub-1 mm2×fJ/conv-step Efficiency and 0.97 NEF
IEEE Solid-State Circuits Letters. 2020. Vol. 3, p. 258 – 261. DOI : 10.1109/LSSC.2020.3013993.Finding Second-Order Stationary Points in Constrained Minimization: A Feasible Direction Approach
Journal Of Optimization Theory And Applications. 2020. Vol. 186, p. 480 – 503. DOI : 10.1007/s10957-020-01713-x.Optimization for Reinforcement Learning: From a single agent to cooperative agents
Ieee Signal Processing Magazine. 2020. Vol. 37, num. 3, p. 123 – 135. DOI : 10.1109/MSP.2020.2976000.Machine Learning From Distributed, Streaming Data [From the Guest Editors]
Ieee Signal Processing Magazine. 2020. Vol. 37, num. 3, p. 11 – 13. DOI : 10.1109/MSP.2020.2972654.On quantifying the quality of acoustic models in hybrid DNN-HMM ASR
Speech Communication. 2020. Vol. 119, p. 24 – 35. DOI : 10.1016/j.specom.2020.03.001.Lipschitz constant estimation for Neural Networks via sparse polynomial optimization
2020. 8th International Conference on Learning Representations, Addis Ababa, ETHIOPIA, April 26-30, 2020.Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
Journal of Machine Learning Research. 2020. Vol. 21, num. 147, p. 1 – 63.Convergence without Convexity: Sampling, Optimization, and Games
Lausanne, EPFL, 2020.Double-Loop Unadjusted Langevin Algorithm
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.Principal Component Analysis By Optimization Of Symmetric Functions Has No Spurious Local Optima
Siam Journal On Optimization. 2020. Vol. 30, num. 1, p. 439 – 463. DOI : 10.1137/18M1188495.Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections
Journal of Machine Learning Research. 2020. Vol. 21, num. 20, p. 1 – 44.Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
2020. 37th International Conference on Machine Learning (ICML), Virtual, July 13-18, 2020.Conditional gradient methods for stochastically constrained convex minimization
2020. 37th International Conference on Machine Learning (ICML), virtual, July 12-18, 2020.Random extrapolation for primal-dual coordinate descent
2020. 37th International Conference on Machine Learning (ICML 2020), Online, July 13-18, 2020.Adaptive Gradient Descent without Descent
2020. 37th International Conference on Machine Learning (ICML 2020), Virtual, July 12-18, 2020.Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces
Applied and Computational Harmonic Analysis. 2020. Vol. 48, num. 3, p. 868 – 890. DOI : 10.1016/j.acha.2018.09.009.On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
2020. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, December 6-12, 2020.A new regret analysis for Adam-type algorithms
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 13-18, 2020.An adaptive primal-dual framework for nonsmooth convex minimization
Mathematical Programming Computation. 2020. Vol. 12, p. 451 – 491. DOI : 10.1007/s12532-019-00173-3.Generating Sparse Stochastic Processes Using Matched Splines
Ieee Transactions On Signal Processing. 2020. Vol. 68, p. 4397 – 4406. DOI : 10.1109/TSP.2020.3011632.Scalable Learning-Based Sampling Optimization For Compressive Dynamic MRI
2020. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020. p. 8584 – 8588. DOI : 10.1109/ICASSP40776.2020.9053345.2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning
2019. 28th International Joint Conference on Artificial Intelligence, 2019, Macao, China, August 10-16, 2019. p. 2692 – 2700.Interactive Teaching Algorithms for Inverse Reinforcement Learning
2019. The 28th International Joint Conference on Artificial Intelligence, 2019., Macao, China, August 10-16, 2019.Fully automated gridding reconstruction for non-Cartesian x-space magnetic particle imaging
Physics In Medicine And Biology. 2019. Vol. 64, num. 16, p. 165018. DOI : 10.1088/1361-6560/ab3525.Chemical machine learning with kernels: The impact of loss functions
International Journal Of Quantum Chemistry. 2019. Vol. 119, num. 9, p. e25872. DOI : 10.1002/qua.25872.Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling
Speech Communication. 2019. Vol. 109, p. 34 – 45. DOI : 10.1016/j.specom.2019.03.004.Inertial Three-Operator Splitting Method and Applications
SIAM Conference on Optimization – OP17, Vancouver, British Columbia, Canada, May 22-25, 2017.Iterative Classroom Teaching
2019. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, Hawaii, USA, January 27 – February 1, 2019. p. 5684 – 5692. DOI : 10.1609/aaai.v33i01.33015684.Efficient learning of smooth probability functions from Bernoulli tests with guarantees.
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.A 24 kb Single-Well Mixed 3T Gain-Cell eDRAM with Body-Bias in 28 nm FD-SOI for Refresh-Free DSP Applications
2019. 15th IEEE Asian Solid-State Circuits Conference (A-SSCC), Macao, PEOPLES R CHINA, Nov 04-06, 2019. p. 219 – 222. DOI : 10.1109/A-SSCC47793.2019.9056985.UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
2019. 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 8-14, 2019.Sparse Inverse Problems Over Measures: Equivalence Of The Conditional Gradient And Exchange Methods
Siam Journal On Optimization. 2019. Vol. 29, num. 2, p. 1329 – 1349. DOI : 10.1137/18M1183388.Fast and Provable ADMM for Learning with Generative Priors
2019. 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 8-14, 2019.Robust Adaptive Decision Making: Bayesian Optimization and Beyond
Lausanne, EPFL, 2019.Stochastic Frank-Wolfe for Composite Convex Minimization
2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.A Learning-Based Framework for Quantized Compressed Sensing
IEEE Signal Processing Letters. 2019. Vol. 26, num. 6, p. 883 – 887. DOI : 10.1109/LSP.2019.2898350.Scalable Convex Optimization Methods for Semidefinite Programming
Lausanne, EPFL, 2019.Data-driven Measurement Designs for Magnetic Resonance Imaging
Lausanne, EPFL, 2019.Convergence of the Exponentiated Gradient Method with Armijo Line Search
Journal of Optimization Theory and Applications. 2019. Vol. 181, p. 588 – 607. DOI : 10.1007/s10957-018-1428-9.Rethinking Sampling in Parallel MRI: A Data-Driven Approach
2019. 27th European Signal Processing Conference (EUSIPCO), Coruña, Spain, September 2-6, 2019. DOI : 10.23919/EUSIPCO.2019.8903150.Streaming Principal Component Analysis From Incomplete Data
Journal Of Machine Learning Research. 2019. Vol. 20.An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.A 4.8pJ/b 6Gb/s ADC-Based PAM-4 Wireline Receiver Data -Path with Cyclic Prefix in 14nm FinFET
2019. 15th IEEE Asian Solid-State Circuits Conference (A-SSCC), Macao, PEOPLES R CHINA, Nov 04-06, 2019. p. 239 – 240. DOI : 10.1109/A-SSCC47793.2019.9056940.A Conditional Gradient-Based Augmented Lagrangian Framework
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Streaming Low-Rank Matrix Approximation With An Application To Scientific Simulation
SIAM Journal on Scientific Computing. 2019. Vol. 41, num. 4, p. A2430 – A2463. DOI : 10.1137/18M1201068.On the convergence of stochastic primal-dual hybrid gradient
2019
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.A 161mW 56Gb/s ADC-Based Discrete Multitone Wireline Receiver Data-Path in 14nm FinFET
2019. IEEE International Solid- State Circuits Conference (ISSCC), San Francisco, CA, Feb 17-21, 2019. p. 476 – 478. DOI : 10.1109/ISSCC.2019.8662505.Overlapping Multi-Bandit Best Arm Identification
2019. The 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 7-12, 2019. p. 2544 – 2548. DOI : 10.1109/ISIT.2019.8849327.Almost surely constrained convex optimization
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.On Certifying Non-Uniform Bounds against Adversarial Attacks
2019. 36th International Conference on Machine Learning (ICML)’2019, Long Beach, USA, June 9-15, 2019.2018
Near-Optimal Noisy Group Testing via Separate Decoding of Items
IEEE Journal of Selected Topics In Signal Processing. 2018. Vol. 12, num. 5, p. 902 – 915. DOI : 10.1109/JSTSP.2018.2844818.On the linear convergence of the stochastic gradient method with constant step-size
Optimization Letters. 2018. Vol. 12, p. 1 – 11. DOI : 10.1007/s11590-018-1331-1.Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
2018
Generalization of Referenceless Timing Mismatch Calibration Methods for Time-Interleaved ADCs
2018. 2018 14th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), Prague, Czech Republic, July 2-5, 2018. DOI : 10.1109/PRIME.2018.8430340.A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
2018. the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.Online Adaptive Methods, Universality and Acceleration
2018. 32nd Conference on Neural Information Processing Systems conference (NIPS 2018), Montreal, Canada, December 3-8, 2018. p. 6500 – 6509.Near-Optimal Noisy Group Testing via Separate Decoding of Items
2018. IEEE International Symposium on Information Theory, Colorado, USA., June 17-22. 2018. p. 2311 – 2315. DOI : 10.1109/ISIT.2018.8437667.Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods
2018. 35th International Conference on Machine Learning, Stockholm, Sweden, July 10 -15, 2018.Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces
2018. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization
SIAM Journal on Optimization. 2018. Vol. 28, num. 1, p. 96 – 134. DOI : 10.1137/16M1093094.Robust Maximization of Non-Submodular Objectives
2018. International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarote, Canary Islands, April, 9-11, 2018.An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems
2018. ACM International Conference on Computing Frontiers 2018, Ischia, Italy, May 8-10, 2018. p. 228 – 231. DOI : 10.1145/3203217.3203260.Stochastic Forward-Douglas-Rachford Splitting for Monotone Inclusions
Stochastic Forward Douglas-Rachford Splitting Method for Monotone Inclusions; Springer International Publishing, 2018.Learning-Based Compressive MRI
IEEE Transactions On Medical Imaging. 2018. Vol. 37, num. 6, p. 1394 – 1406. DOI : 10.1109/TMI.2018.2832540.Learning without Smoothness and Strong Convexity
Lausanne, EPFL, 2018.A single-phase, proximal path-following framework
Mathematics of Operations Research. 2018. Vol. 43, num. 4, p. 1326 – 1347. DOI : 10.1287/moor.2017.0907.Stochastic Three-Composite Convex Minimization with a Linear Operator
2018. 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018, Lanzarotte, Spain, April 9-11, 2018.Dimension-free Information Concentration via Exp-Concavity
2018. Algorithmic Learning Theory (ALT) 2018, Lanzarote, Spain, April 7-9, 2018. p. 451 – 469.Mirrored Langevin Dynamics
2018. Thirty-second Conference on Neural Information Processing Systems (NIPS), Montréal, p. 2878 – 2887.Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization
Large-Scale and Distributed Optimization; Springer, 2018.High Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
2018. AISTATS, Lanzarote, Spain, April, 9-11, 2018.Let’s be honest: An optimal no-regret framework for zero-sum games
2018. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization
IEEE Transactions on Signal Processing. 2018. Vol. 66, num. 22, p. 5917 – 5926. DOI : 10.1109/TSP.2018.2870353.Real-time DCT Learning-based Reconstruction of Neural Signals
2018. 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, September 3-7. 2018. DOI : 10.23919/EUSIPCO.2018.8553402.Phonetic Subspace Features for Improved Query by Example Spoken Term Detection
Speech Communication. 2018. Vol. 103, p. 27 – 36. DOI : 10.1016/j.specom.2018.07.001.Generalization properties of doubly stochastic learning algorithms
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2018
An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems
2018. 15th ACM International Conference on Computing Frontiers, Ischia, ITALY, May 08-10, 2018. p. 228 – 231. DOI : 10.1145/3203217.3203260.Learning-Based Hardware Design for Data Acquisition Systems
Lausanne, EPFL, 2018.Adversarially Robust Optimization with Gaussian Processes
2018. Conference on Neural Information Processing Systems (NIPS), Montreal, 2018.Adversarially Robust Optimization with Gaussian Processes
2018. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants
2018. 1st International Symposium on Integrated Circuits and Systems (ISICAS), Taormina, Italy, September 02-03, 2018. p. 3929 – 3941. DOI : 10.1109/TCSI.2018.2853983.Finding Mixed Nash Equilibria of Generative Adversarial Networks
2018. IEEE International Conference on Machine Learning (ICML)’ 2019, Long Beach, USA, June 9-15, 2019.Learning with Structured Sparsity: From Discrete to Convex and Back.
EPFL, 2018.An Eight lanes 7Gb/s/pin Source Synchronous Single-Ended RX with Equalization and Far-End Crosstalk Cancellation for Backplane Channels
IEEE Journal of Solid State Circuits. 2018. Vol. 53, num. 3, p. 861 – 872. DOI : 10.1109/JSSC.2017.2783679.2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
2017. 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, California, USA, December 4-9, 2017.Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
2017. Conference on Neural Information Processing Systems (NIPS), Long Beach,Practical Sketching Algorithms For Low-Rank Matrix Approximation
Siam Journal On Matrix Analysis And Applications. 2017. Vol. 38, num. 4, p. 1454 – 1485. DOI : 10.1137/17M1111590.How little does non-exact recovery help in group testing?
2017. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, March 2017. p. 6090 – 6094. DOI : 10.1109/ICASSP.2017.7953326.Faster Coordinate Descent via Adaptive Importance Sampling
2017. 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017, Fort Lauderdale, Florida, USA, April 20-22, 2017.General Proximal Gradient Method: A Case for Non-Euclidean Norms
2017.DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems
2017. Computing Frontiers Conference 2017, Siena, Italy, May 15-17, 2017. p. 391 – 394. DOI : 10.1145/3075564.3078890.Robust Submodular Maximization: A Non-Uniform Partitioning Approach
2017. The 34th International Conference on Machine Learning (ICML), Sydney, 2017.Lower Bounds on Active Learning for Graphical Model Selection
2017. The 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), Fort Lauderdale, Florida, USA, April 20-22, 2017.Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework
IEEE Transactions on Information Theory. 2017. Vol. 63, num. 1, p. 593 – 620. DOI : 10.1109/TIT.2016.2606605.Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
2017. Conference on Learning Theory (COLT)Conference on Learning Theory (COLT), AmsterdamAmsterdam, Netherlands, July 2017July, 7-10, 2017.Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
2017. 20th International Conference on Artificial Intelligence and Statistics (AISTATS2017), Fort Lauderdale, Florida, USA, April 20-22, 2017.A Distributed Algorithm for Partitioned Robust Submodular Maximization
2017. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). DOI : 10.1109/CAMSAP.2017.8313155.An Adaptive Sublinear-Time Block Sparse Fourier Transform
2017. ACM Symposium on Theory of Computing (STOC), Montreal, June 19-23, 2017. p. 702 – 715. DOI : 10.1145/3055399.3055462.Combinatorial Penalties: Which structures are preserved by convex relaxations?
2017. 21st International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarotte, Spain, April 9-11, 2017.Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
2017. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA, December 4-9, 2017.Smoothing technique for nonsmooth composite minimization with linear operator
2017
Phase Transitions in the Pooled Data Problem
2017. Conference on Neural Information Processing Systems (NIPS), Long Beach, California, December 2017.Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework
2017
2016
Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Foreground Subtraction
IEEE Transactions on Signal Processing. 2016. Vol. 64, num. 14, p. 3651 – 3666. DOI : 10.1109/TSP.2016.2544744.Stochastic Three-Composite Convex Minimization
2016. 30th Conference on Neural Information Processing Systems (NIPS2016), Barcelona, Spain, December 5-10, 2016. p. 4329 – 4337.Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
2016. Conference on Neural Information Processing Systems (NIPS), Barcelona, December 5-10, 2016.An Efficient Streaming Algorithm for the Submodular Cover Problem
2016. The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS).Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices
2016. International Symposium on Information Theory (ISIT), Barcelona, July 10-15, 2016. p. 2868 – 2872. DOI : 10.1109/ISIT.2016.7541823.Phase Transitions in Group Testing
2016. ACM-SIAM Symposium on Discrete Algorithms (SODA), Arlington, Virginia, USA, January 10-12, 2016. p. 40 – 53. DOI : 10.1137/1.9781611974331.ch4.Group-Sparse Model Selection: Hardness and Relaxations
IEEE Transactions on Information Theory. 2016. Vol. 62, num. 11, p. 6508 – 6534. DOI : 10.1109/TIT.2016.2602222.Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition
2016. 26th edition of GLSVLSI, Boston, USA, May 18-20, 2016. p. 433 – 438. DOI : 10.1145/2902961.2903028.Partial Recovery Bounds for the Sparse Stochastic Block Model
2016. International Symposium on Information Theory (ISIT), Barcelona, July 10-15, 2016. p. 1904 – 1908. DOI : 10.1109/ISIT.2016.7541630.Learning-Based Compressive Subsampling
IEEE Journal on Selected Topics in Signal Processing. 2016. Vol. 10, num. 4, p. 809 – 822. DOI : 10.1109/Jstsp.2016.2548442.Estimation Error of the Constrained Lasso
2016. 54th Annual Allerton Conf. Communication, Control, and Computing, Monticello, IL, September 27-30, 2016. p. 433 – 438. DOI : 10.1109/ALLERTON.2016.7852263.On the Difficulty of Selecting Ising Models with Approximate Recovery
IEEE Transactions on Signal and Information Processing over Networks. 2016. Vol. 2, num. 4, p. 625 – 638. DOI : 10.1109/Tsipn.2016.2596439.Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices
2016. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain, May 9-11, 2016.Learning Data Triage: Linear Decoding Works for Compressive MRI
2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing. p. 4034 – 4038. DOI : 10.1109/ICASSP.2016.7472435.Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices
2016. IEEE International Symposium on Information Theory, (ISIT), Istanbul, Turkey, July 7-12 2013. p. 7464 – 7474. DOI : 10.1109/ISIT.2013.6620309.Stochastic Spectral Descent for Discrete Graphical Models
IEEE Journal of Selected Topics in Signal Processing. 2016. Vol. 10, num. 2, p. 296 – 311. DOI : 10.1109/Jstsp.2015.2505684.Time-Varying Gaussian Process Bandit Optimization
2016. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain, May 9 – 11, 2016.Randomized Single-View Algorithms for Low-Rank Matrix Approximation
2016
Adaptive-Rate Reconstruction of Time-Varying Signals with Application in Compressive Foreground Extraction
IEEE Transactions on Signal Processing. 2016. Vol. 64, num. 14, p. 3651 – 3666. DOI : 10.1109/TSP.2016.2544744.Convex block-sparse linear regression with expanders – provably
2016. The 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), Cadiz, Spain, May 7-11, 2016. p. 19 – 27.Frank-Wolfe Works for Non-Lipschitz Continuous Gradient Objectives: Scalable Poisson Phase Retrieval
2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing. p. 6230 – 6234. DOI : 10.1109/ICASSP.2016.7472875.2015
Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression
2015. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing, Brisbane, Australia, April 19-24, 2015. p. 3606 – 3610. DOI : 10.1109/ICASSP.2015.7178643.A Universal Primal-Dual Convex Optimization Framework
2015. 29th Annual Conference on Neural Information Processing Systems (NIPS2015), Montreal, Canada, December 7-12, 2015.What’s the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid
Algorithmica. 2015. Vol. 73, num. 2, p. 261 – 288. DOI : 10.1007/s00453-014-9918-0.Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements
SIAM Journal on Imaging Sciences (SIIMS). 2015. Vol. 8, num. 3, p. 1923 – 1954. DOI : 10.1137/140998779.Stochastic Spectral Descent for Restricted Boltzmann Machines
2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, USA, May 9-12, 2015.Composite convex minimization involving self-concordant-like cost functions
2015
Active Learning of Self-concordant like Multi-index Functions
2015. 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 19-24, 2015. p. 2189 – 2193. DOI : 10.1109/ICASSP.2015.7178359.Scalable Convex Methods for Phase Retrieval
2015. 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, December 13-16, 2015. p. 381 – 384. DOI : 10.1109/CAMSAP.2015.7383816.Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost
IEEE Journal of Selected Topics in Signal Processing. 2015. Vol. 9, num. 4, p. 612 – 624. DOI : 10.1109/Jstsp.2015.2400412.A totally unimodular view of structured sparsity
2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, California, USA, May 9 – 12, 2015.Limits on Support Recovery with Probabilistic Models: An Information-Theoretic Framework
2015. International Symposium on Information Theory, Hong Kong, June 2015. p. 2331 – 2335. DOI : 10.1109/ISIT.2015.7282872.Sparsistency of $\ell_1$-Regularized $M$-Estimators
2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, California, USA, May 9-12, 2015.A Primal-dual Framework For Mixtures Of Regularisers
2015. 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, August 31 – September 4 2015. p. 240 – 244. DOI : 10.1109/EUSIPCO.2015.7362381.A Geometric View on Constrained M-Estimators
2015
Dynamic Sparse State Estimation Using ℓ1-ℓ1 Minimization: Adaptive-rate Measurement Bounds, Algorithms and Applications
2015. 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Brisbane, Queensland, Australia, April 19-24, 2015. p. 3332 – 3336. DOI : 10.1109/ICASSP.2015.7178588.Second-Order Asymptotics for the Discrete Memoryless MAC with Degraded Message Sets
2015. IEEE International Symposium on Information Theory, Hong Kong, p. 2964 – 2968. DOI : 10.1109/ISIT.2015.7283000.Composite Self-Concordant Minimization
Journal of Machine Learning Research. 2015. Vol. 16, p. 371 – 416.Splitting the Smoothed Primal-Dual Gap: Optimal Alternating Direction Methods
2015
A 5.9mW/Gb/s 7Gb/s/pin 8-Lane Single-Ended RX with Crosstalk Cancellation Scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS
2015. Symposium on VLSI Circuits, Kyoto, Japan, June 15-19, 2015. p. C228 – C229. DOI : 10.1109/VLSIC.2015.7231267.Refinements of the Third-Order Term in the Fixed Error Asymptotics of Constant-Composition Codes
2015. IEEE International Symposium on Information Theory, Hong Kong, p. 2954 – 2958. DOI : 10.1109/ISIT.2015.7282998.Sparse Group Covers and Greedy Tree Approximations
2015. 2015 IEEE Internation Symposium on Information Theory, Hong Kong, China, June 14-19, 2015. p. 551 – 555. DOI : 10.1109/ISIT.2015.7282515.Structured Sampling and Recovery of iEEG Signals
2015. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 13-16, 2015. p. 269 – 272. DOI : 10.1109/CAMSAP.2015.7383788.Composite convex minimization involving self-concordant-like cost functions
2015. Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2015), Metz, France, May 11-13, 2015. p. 155 – 168. DOI : 10.1007/978-3-319-18161-5_14.Introduction to the Issue on Signal Processing for Big Data
Ieee Journal Of Selected Topics In Signal Processing. 2015. Vol. 9, num. 4, p. 583 – 585. DOI : 10.1109/Jstsp.2015.2418393.On the Dispersions of the Gel’fand-Pinsker Channel and Dirty Paper Coding
IEEE Transactions on Information Theory. 2015. Vol. 61, num. 9, p. 4569 – 4586. DOI : 10.1109/Tit.2015.2449844.An optimal first-order primal-dual gap reduction framework for constrained convex optimization
2015
WASP: Scalable Bayes via barycenters of subset posteriors
2015. The 18th International Conference on Artificial Intelligence and Statistics, San Diego, USA, May 9-12, 2015. p. 912 – 920.Preconditioned Spectral Descent for Deep Learning
2015. 29-th Neural Information Processing Systems (NIPS), 2015.2014
Approximate Matrix Multiplication with Application to Linear Embeddings
2014. IEEE International Symposium on Information Theory (ISIT), Honolulu, HI, JUN 29-JUL 04, 2014. p. 2182 – 2186. DOI : 10.1109/ISIT.2014.6875220.Model-based Sketching and Recovery with Expanders
2014. ACM-SIAM Symposium on Discrete Algorithms, Portland, Oregon, USA, January 5-7, 2014. p. 1529 – 1543. DOI : 10.1137/1.9781611973402.112.Bilinear Generalized Approximate Message Passing—Part I: Derivation
IEEE Transactions on Signal Processing. 2014. Vol. 62, num. 22, p. 5839 – 5853. DOI : 10.1109/TSP.2014.2357776.Path-following gradient-based decomposition algorithms for separable convex optimization
Journal of Global Optimization. 2014. Vol. 59, num. 1, p. 59 – 80. DOI : 10.1007/s10898-013-0085-7.Fixed-Rank Rayleigh Quotient Maximization by an MPSK Sequence
IEEE Transactions on Communications. 2014. Vol. 62, num. 3, p. 961 – 975. DOI : 10.1109/Tcomm.2014.012414.130439.A variational approach to stable principal component pursuit
2014. 30th Conference on Uncertainty in Artificial Intelligence (UAI) 2014, Quebec City, Quebeck, Canada, July 23-27, 2014.Learning with tensors: a framework based on convex optimization and spectral regularization
Machine Learning. 2014. Vol. 94, num. 3, p. 303 – 351. DOI : 10.1007/s10994-013-5366-3.Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences
Lausanne, EPFL, 2014.Constrained convex minimization via model-based excessive gap
2014. Advances in Neural Information Processing Systems (NIPS) 2014, Montreal, Quebec, Canada, December 8-11, 2014.Time–Data Tradeoffs by Aggressive Smoothing
2014. Conference of Neural Information Processing Systems (NIPS) Foundation 2014, Montreal, Quebec, Canada, December 8-11, 2014.Matrix Recipes for Hard Thresholding Methods
Journal Of Mathematical Imaging And Vision. 2014. Vol. 48, num. 2, p. 235 – 265. DOI : 10.1007/s10851-013-0434-7.Barrier Smoothing for Nonsmooth Convex Minimization
2014. IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 4-9, 2014. p. 1503 – 1507. DOI : 10.1109/ICASSP.2014.6853848.Metric Learning with Rank and Sparsity Constraints
2014. IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 4-9, 2014. p. 21 – 25. DOI : 10.1109/ICASSP.2014.6853550.Convex Optimization for Big Data
IEEE Signal Processing Magazine. 2014. Vol. 31, num. 5, p. 32 – 43. DOI : 10.1109/MSP.2014.2329397.Structured Sparsity Models for Reverberant Speech Separation
IEEE Transactions on Audio, Speech and Language Processing. 2014. Vol. 22, num. 3, p. 620 – 633. DOI : 10.1109/Taslp.2013.2297012.An inexact proximal path-following algorithm for constrained convex minimization
Siam Journal On Optimization. 2014. Vol. 24, num. 4, p. 1718 – 1745. DOI : 10.1137/130944539.Bilinear Generalized Approximate Message Passing—Part II: Applications
IEEE Transactions on Signal Processing. 2014. Vol. 62, num. 22, p. 5854 – 5867. DOI : 10.1109/TSP.2014.2357773.A Primal-Dual Algorithmic Framework for Constrained Convex Minimization
2014
Scalable sparse covariance estimation via self-concordance
2014. Twenty-Eighth AAAI Conference on Artificial Intelligence, Quebec, Canada, July 27-31, 2014. DOI : 10.1609/aaai.v28i1.8960.MAP Estimation for Bayesian Mixture Models with Submodular Priors
2014. 2014 IEEE International Workshop on Machine Learning for signal processing, Reims, France, Sept 21-24, 2014. DOI : 10.1109/MLSP.2014.6958846.Learning non-parametric basis independent models from point queries via low-rank methods
Applied And Computational Harmonic Analysis. 2014. Vol. 37, num. 3, p. 389 – 412. DOI : 10.1016/j.acha.2014.01.002.Model-based Sparse Component Analysis for Reverberant Speech Localization
2014. IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, May 4-9. p. 1439 – 1443. DOI : 10.1109/ICASSP.2014.6853835.2013
Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection
2013. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, BC, Canada, May 26-31, 2013. p. 6585 – 6589. DOI : 10.1109/ICASSP.2013.6638935.High-Dimensional Gaussian Process Bandits
2013. Neural Information Processing Systems, Lake Tahoe, Nevada, December 5-8, 2013.Accelerated And Inexact Forward-Backward Algorithms
Siam Journal On Optimization. 2013. Vol. 23, num. 3, p. 1607 – 1633. DOI : 10.1137/110844805.Energy-aware adaptive bi-Lipschitz embeddings
2013. 10th International Conference on Sampling Theory and Applications (SampTA), Bremen, Germany, July 1-5, 2013.To Convexify or Not? Regression with Clustering Penalties on Graphs
2013. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, France, December 15-18. 2013. p. 21 – 24. DOI : 10.1109/CAMSAP.2013.6713997.Convexity in source separation: Models, geometry, and algorithms
IEEE Signal Processing Magazine. 2013. Vol. 31, num. 3, p. 87 – 95. DOI : 10.1109/MSP.2013.2296605.A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
2013. 30th International Conference on Machine Learning, Atlanta, GA, USA, June 16-19, 2013. p. 271 – 279.Time-Optimal Path Following for Robots With Convex-Concave Constraints Using Sequential Convex Programming
Ieee Transactions On Robotics. 2013. Vol. 29, num. 6, p. 1485 – 1495. DOI : 10.1109/Tro.2013.2277565.Sparse projections onto the simplex
2013. The 30th International Conference on Machine Learning (ICML) 2013, Atlanta, USA, June 16-21, 2013. p. 280 – 288.Manifold Sparse Beamforming
2013. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, France, December 15-18, 2013. p. 113 – 116. DOI : 10.1109/CAMSAP.2013.6714020.Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection
2013. 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013. p. 6585 – 6589. DOI : 10.1109/ICASSP.2013.6638935.Randomized Low-Memory Singular Value Projection
2013. 10th International Conference on Sampling Theory and Applications (Sampta), Bremen, Germany, July 1st – July 5th, 2013.Tractability of interpretability via selection of group-sparse models
2013. IEEE International Symposium on Information Theory Proceedings (ISIT), 2013, Istanbul, Turkey, July 7-13, 2013. DOI : 10.1109/ISIT.2013.6620384.2012
Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm
2012. 2012 IEEE International Symposium on Information Theory Proceedings (ISIT), Cambridge, Massachusetts, USA, July 1-6, 2012. p. 2216 – 2220. DOI : 10.1109/ISIT.2012.6283847.Bearing estimation via spatial sparsity using compressive sensing
IEEE Transactions on Aerospace and Electronic Systems. 2012. Vol. 48, num. 2, p. 1358 – 1369. DOI : 10.1109/TAES.2012.6178067.Filtered Variation method for denoising and sparse signal processing
2012. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, Kyoto, Japan, March 25-30, 2012. DOI : 10.1109/ICASSP.2012.6288628.Active Learning of Multi-Index Function Models
2012. NIPS (The Neural Information Processing Systems), Lake Tahoe, Reno, Nevada, December 3-8, 2012.Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures
2012. The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 25-30, 2012. p. 2425 – 2428. DOI : 10.1109/ICASSP.2012.6288405.Compressible distributions for high-dimensional statistics
IEEE Transactions on Information Theory. 2012. Vol. 58, num. 8, p. 5016 – 5034. DOI : 10.1109/TIT.2012.2197174.Equivalence of synthesis and atomic formulations of sparse recovery
2012. IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, Michigan, USA, Aug 5-8, 2012. p. 177 – 180. DOI : 10.1109/SSP.2012.6319652.Learning Ridge Functions With Randomized Sampling In High Dimensions
2012. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March 25-39, 2012. p. 2025 – 2028. DOI : 10.1109/ICASSP.2012.6288306.Multi-Way Compressed Sensing for Sparse Low-Rank Tensors
IEEE Signal Processing Letters. 2012. Vol. 19, num. 11, p. 757 – 760. DOI : 10.1109/Lsp.2012.2210872.Method, apparatus and computer program product for determining the location of a plurality of speech sources
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