Search Results for author: Houssam Zenati

Found 8 papers, 6 papers with code

Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline Evaluation

1 code implementation22 Apr 2020 Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal

Counterfactual reasoning from logged data has become increasingly important for many applications such as web advertising or healthcare.

Model Selection

Optimistic mirror descent in saddle-point problems: Going the extra(-gradient) mile

no code implementations ICLR 2019 Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras

Owing to their connection with generative adversarial networks (GANs), saddle-point problems have recently attracted considerable interest in machine learning and beyond.

Manifold regularization with GANs for semi-supervised learning

1 code implementation ICLR 2019 Bruno Lecouat, Chuan-Sheng Foo, Houssam Zenati, Vijay Chandrasekhar

Generative Adversarial Networks are powerful generative models that are able to model the manifold of natural images.

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile

no code implementations7 Jul 2018 Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras

Owing to their connection with generative adversarial networks (GANs), saddle-point problems have recently attracted considerable interest in machine learning and beyond.

Semi-Supervised Learning with GANs: Revisiting Manifold Regularization

2 code implementations23 May 2018 Bruno Lecouat, Chuan-Sheng Foo, Houssam Zenati, Vijay R. Chandrasekhar

GANS are powerful generative models that are able to model the manifold of natural images.

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