Dr Efstratios (Stratis) Skoulakis

Research Interests:

  • Online Learning
  • Online Algorithms
  • Convex Optimization

 

Biography

Stratis landed a position of Assistant Professor at Aarhus University. Before that he was a postdoctoral research fellow at the Laboratory for Information and Inference Systems. His interests lie at the intersection of Game Theory, Optimization and Machine Learning.

Stratis received his Ph.D. in Algorithmic Game Theory from the National Technical University of Athens under the supervision of Prof. Dimitris Fotakis. From 2019-2021 he was a postdoctoral research fellow at Singapore University of Technology hosted by Prof. George Piliouras. 

Publications with LIONS

Efficient Continual Finite-Sum Minimization

I. Mavrothalassitis; E. P. Skoulakis; L. T. Dadi; V. Cevher 

2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.

Detailed record

Imitation Learning in Discounted Linear MDPs without exploration assumptions

L. Viano; E. P. Skoulakis; V. Cevher 

2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.

Detailed record

Learning to Remove Cuts in Integer Linear Programming

P. Puigdemont; E. P. Skoulakis; G. Chrysos; V. Cevher 

2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.

Detailed record

Maximum Independent Set: Self-Training through Dynamic Programming

L. Brusca; L. C. Quaedvlieg; E. P. Skoulakis; G. Chrysos; V. Cevher 

2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023)., New Orlean, USA, December 10-16. 2023.

Detailed record

Alternation makes the adversary weaker in two-player games

V. Cevher; A. Cutkosky; A. Kavis; G. Piliouras; E. P. Skoulakis et al. 

2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.

Detailed record

Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.

I. Panageas; E. P. Skoulakis; L. Viano; X. Wang; V. Cevher 

2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.

Detailed record

Efficient Online Clustering with Moving Costs

D. Christou; E. P. Skoulakis; V. Cevher 

2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.

Detailed record

Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update

G. Piliouras; R. Simm; E. P. Skoulakis 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisianna, USA, November 28-December 9, 2022.

Detailed record

Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization

A. Kavis; E. P. Skoulakis; K. Antonakopoulos; L. T. Dadi; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.

Detailed record