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Research Interests:
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Biography
I received my Bachelor degree at EPFL in Physics, and spent my third year abroad at the Imperial College of London in 2014. I then got my Master at EPFL in “Computational Sciences and Engineering”. My master project was supervised by Prof. Volkan Cevher, and I started my PhD at LIONS in 2017. I finished my PHD in September 2022.
Publications with LIONS
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Predicting in Uncertain Environments: Methods for Robust Machine Learning
Lausanne, EPFL, 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.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.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.Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020-11-05
Lipschitz constant estimation for Neural Networks via sparse polynomial optimization
2020-04-26. 8th International Conference on Learning Representations, Addis Ababa, ETHIOPIA, April 26-30, 2020.Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
2020. 37th International Conference on Machine Learning (ICML), Virtual, July 13-18, 2020.Double-Loop Unadjusted Langevin Algorithm
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.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.Mirrored Langevin Dynamics
2018. Thirty-second Conference on Neural Information Processing Systems (NIPS), Montréal, p. 2878-2887.Access map