| Efficient gan-based anomaly detection H Zenati, CS Foo, B Lecouat, G Manek, VR Chandrasekhar arXiv preprint arXiv:1802.06222, 2018 | 852 | 2018 |
| Adversarially learned anomaly detection H Zenati, M Romain, CS Foo, B Lecouat, V Chandrasekhar 2018 IEEE International conference on data mining (ICDM), 727-736, 2018 | 460 | 2018 |
| Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile P Mertikopoulos, B Lecouat, H Zenati, CS Foo, V Chandrasekhar, ... International Conference on Learning Representations (ICLR), 2018 | 346 | 2018 |
| Towards practical unsupervised anomaly detection on retinal images K Ouardini, H Yang, B Unnikrishnan, M Romain, C Garcin, H Zenati, ... Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 41 | 2019 |
| Semi-supervised deep learning for abnormality classification in retinal images B Lecouat, K Chang, CS Foo, B Unnikrishnan, JM Brown, H Zenati, ... NeurIPS Workshop on Machine Learning for Health, 2018 | 41 | 2018 |
| Semi-supervised learning with gans: Revisiting manifold regularization B Lecouat, CS Foo, H Zenati, VR Chandrasekhar International Conference on Learning Representations (ICLR) Workshop Track, 2018 | 34 | 2018 |
| Manifold regularization with gans for semi-supervised learning B Lecouat, CS Foo, H Zenati, V Chandrasekhar arXiv preprint arXiv:1807.04307, 2018 | 21 | 2018 |
| Efficient kernelized ucb for contextual bandits H Zenati, A Bietti, E Diemert, J Mairal, M Martin, P Gaillard International Conference on Artificial Intelligence and Statistics, 5689-5720, 2022 | 15 | 2022 |
| Counterfactual learning of continuous stochastic policies H Zenati, A Bietti, M Martin, E Diemert, J Mairal arXiv preprint arXiv:2004.11722, 2020 | 6* | 2020 |
| Sequential counterfactual risk minimization H Zenati, E Diemert, M Martin, J Mairal, P Gaillard International Conference on Machine Learning, 40681-40706, 2023 | 3 | 2023 |
| Nested bandits M Martin, P Mertikopoulos, T Rahier, H Zenati International Conference on Machine Learning (ICML), 2022 | 2 | 2022 |
| Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions H Zenati, A Bietti, M Martin, E Diemert, J Mairal International Conference on Learning Representations (ICLR) Workshop Track, 2020 | 1 | 2020 |
| Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits J Zhou, P Gaillard, T Rahier, H Zenati, J Arbel arXiv preprint arXiv:2402.15171, 2024 | | 2024 |
| Efficient methods in counterfactual policy learning and sequential decision making H Zenati Université Grenoble Alpes [2020-....], 2023 | | 2023 |
| Проблемът на Ердьош за различните разстояния H Zenati Математика и информатика 60 (5), 501-514, 2017 | | 2017 |
| Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits J Zhou, P Gaillard, T Rahier, H Zenati, J Arbel | | |
Vijay ChandrasekharIEEE Senior Member, R&D在 alumni.stanford.edu 的电子邮件经过验证
