| On the properties of variational approximations of Gibbs posteriors P Alquier, J Ridgway, N Chopin Journal of Machine Learning Research 17 (239), 1-41, 2016 | 263 | 2016 |
| User-friendly introduction to PAC-Bayes bounds P Alquier Foundations and Trends® in Machine Learning 17 (2), 174-303, 2024 | 175 | 2024 |
| Noisy Monte Carlo: Convergence of Markov chains with approximate transition kernels P Alquier, N Friel, R Everitt, A Boland Statistics and Computing 26 (1), 29-47, 2016 | 168 | 2016 |
| Concentration of tempered posteriors and of their variational approximations P Alquier, J Ridgway The Annals of Statistics 48 (3), 1475-1497, 2020 | 135 | 2020 |
| Sparse single-index model P Alquier, G Biau Journal of Machine Learning Research 14 (Jan), 243-280, 2013 | 108 | 2013 |
| PAC-Bayesian bounds for sparse regression estimation with exponential weights P Alquier, K Lounici Electronic Journal of Statistics 5, 127-145, 2011 | 83 | 2011 |
| Model selection for weakly dependent time series forecasting P Alquier, O Wintenberger Bernoulli 18 (3), 883-913, 2012 | 82 | 2012 |
| Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887–902, 2018 | 79 | 2018 |
| Regret bounds for lifelong learning P Alquier, TT Mai, M Pontil 20th International Conference on Artificial Intelligence and Statistics, 261-269, 2017 | 78 | 2017 |
| PAC-Bayesian bounds for randomized empirical risk minimizers P Alquier Mathematical Methods of Statistics 17, 279-304, 2008 | 71 | 2008 |
| A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix T Doan, M Bennani, B Mazoure, G Rabusseau, P Alquier 24th International Conference on Artificial Intelligence and Statistics …, 2021 | 69 | 2021 |
| MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy BE Chérief-Abdellatif, P Alquier 2nd Symposium on Advances in Approximate Bayesian Inference, 1-21, 2020 | 66 | 2020 |
| Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions P Alquier, V Cottet, G Lecué The Annals of Statistics 47 (4), 2117-2144, 2019 | 66 | 2019 |
| Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures BE Chérief-Abdellatif, P Alquier Electronic Journal of Statistics 12 (2), 2995-3035, 2018 | 64 | 2018 |
| PAC-Bayesian Estimation and Prediction in Sparse Additive Models B Guedj, P Alquier Electronic Journal of Statistics 7, 264-291, 2013 | 63 | 2013 |
| A Bayesian Approach for Noisy Matrix Completion: Optimal Rate under General Sampling Distribution TT Mai, P Alquier Electronic Journal of Statistics 9, 823-841, 2015 | 57 | 2015 |
| Prediction of time series by statistical learning: general losses and fast rates P Alquier, X Li, O Wintenberger Dependence Modeling 1, 65-93, 2013 | 52* | 2013 |
| Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence BE Chérief-Abdellatif, P Alquier Bernoulli 28 (1), 181-213, 2022 | 39 | 2022 |
| 1-Bit matrix completion: PAC-Bayesian analysis of a variational approximation V Cottet, P Alquier Machine Learning 107 (3), 579-603, 2018 | 36 | 2018 |
| Bayesian methods for low-rank matrix estimation: short survey and theoretical study P Alquier 24th International Conference on Algorithmic Learning Theory, 309-323, 2013 | 36 | 2013 |
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)在 ensae.fr 的电子邮件经过验证
