Houssam Zenati

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Unsupervised Anomaly Detection

Manifold Regularization

Optimization Approaches

Supervised Learning

Top Venues

Publications

Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits. CoRR (2024)
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
Sequential Counterfactual Risk Minimization. CoRR (2023)
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
Sequential Counterfactual Risk Minimization. ICML (2023)
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
Nested Bandits. ICML (2022)
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
Efficient Kernel UCB for Contextual Bandits. CoRR (2022)
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
Efficient Kernelized UCB for Contextual Bandits. AISTATS (2022)
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
Nested bandits. CoRR (2022)
Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal
Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions. CoRR (2020)
Khalil Ouardini, Huijuan Yang, Balagopal Unnikrishnan, Manon Romain, Camille Garcin, Houssam Zenati, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Chandrasekhar, Pavitra Krishnaswamy, Chuan-Sheng Foo
Towards Practical Unsupervised Anomaly Detection on Retinal Images. DART/MIL3ID@MICCAI (2019)
Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile. ICLR (Poster) (2019)
Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar
Adversarially Learned Anomaly Detection. ICDM (2018)
Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar
Adversarially Learned Anomaly Detection. CoRR (2018)
Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization. CoRR (2018)
Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR (2018)
Panayotis Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
Mirror descent in saddle-point problems: Going the extra (gradient) mile. CoRR (2018)
Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat, Gaurav Manek, Vijay Ramaseshan Chandrasekhar
Efficient GAN-Based Anomaly Detection. CoRR (2018)
Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar
Semi-Supervised Learning With GANs: Revisiting Manifold Regularization. ICLR (Workshop) (2018)
Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Chandrasekhar
Manifold regularization with GANs for semi-supervised learning. CoRR (2018)