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Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation


Jun 22, 2022
Kilian Fatras, Hiroki Naganuma, Ioannis Mitliagkas


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A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games


Jun 12, 2022
Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer


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Towards efficient representation identification in supervised learning


Apr 10, 2022
Kartik Ahuja, Divyat Mahajan, Vasilis Syrgkanis, Ioannis Mitliagkas

* Proceedings of the First Conference on Causal Learning and Reasoning 

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Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize


Nov 01, 2021
Ryan D'Orazio, Nicolas Loizou, Issam Laradji, Ioannis Mitliagkas


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Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks


Oct 20, 2021
Manuela Girotti, Ioannis Mitliagkas, Gauthier Gidel

* 10 pages (Main) + 19 pages (Appendix), 6 figures 

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Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity


Jun 30, 2021
Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien

* 35 pages, 3 figures, 1 table 

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Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization


Jun 11, 2021
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish


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Gotta Go Fast When Generating Data with Score-Based Models


May 28, 2021
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas

* Code is available on https://github.com/AlexiaJM/score_sde_fast_sampling 

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A Study of Condition Numbers for First-Order Optimization


Dec 25, 2020
Charles Guille-Escuret, Baptiste Goujaud, Manuela Girotti, Ioannis Mitliagkas


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