| Maximum mean discrepancy gradient flow M Arbel, A Korba, A Salim, A Gretton Advances in Neural Information Processing Systems 32, 2019 | 166 | 2019 |
| A non-asymptotic analysis for Stein variational gradient descent A Korba, A Salim, M Arbel, G Luise, A Gretton Advances in Neural Information Processing Systems 33, 2020 | 94 | 2020 |
| Proximal causal learning with kernels: Two-stage estimation and moment restriction A Mastouri, Y Zhu, L Gultchin, A Korba, R Silva, MJ Kusner, A Gretton, ... International Conference on Machine Learning, 2021 | 72 | 2021 |
| The Wasserstein Proximal Gradient Algorithm A Salim, A Korba, G Luise Advances in Neural Information Processing Systems 33, 2020 | 63 | 2020 |
| Kernel Stein Discrepancy Descent A Korba, PC Aubin-Frankowski, S Majewski, P Ablin International Conference on Machine Learning, 2021 | 52 | 2021 |
| A learning theory of ranking aggregation A Korba, S Clémençon, E Sibony Artificial intelligence and statistics, 1001-1010, 2017 | 46 | 2017 |
| A structured prediction approach for label ranking A Korba, A Garcia, FA Buc Advances in Neural Information Processing Systems 31, 2018 | 45 | 2018 |
| Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM PC Aubin-Frankowski, A Korba, F Léger Advances in Neural Information Processing Systems 35, 2022 | 25 | 2022 |
| Sampling with Mollified Interaction Energy Descent L Li, Q Liu, A Korba, M Yurochkin, J Solomon International Conference on Learning Representations, 2023 | 18 | 2023 |
| Ranking median regression: Learning to order through local consensus S Clémençon, A Korba, E Sibony Algorithmic learning theory, 212-245, 2018 | 17 | 2018 |
| Controlling the distance to a kemeny consensus without computing it Y Jiao, A Korba, E Sibony International Conference on Machine Learning, 2971-2980, 2016 | 17 | 2016 |
| Exponential Smoothing for Off-Policy Learning I Aouali, VE Brunel, D Rohde, A Korba International Conference on Machine Learning, 2023 | 15 | 2023 |
| Accurate quantization of measures via interacting particle-based optimization L Xu, A Korba, D Slepcev International Conference on Machine Learning, 24576-24595, 2022 | 15 | 2022 |
| Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff A Korba, F Portier Artificial Intelligence and Statistics, 2022 | 13 | 2022 |
| Implicit diffusion: Efficient optimization through stochastic sampling P Marion, A Korba, P Bartlett, M Blondel, V De Bortoli, A Doucet, ... arXiv preprint arXiv:2402.05468, 2024 | 12 | 2024 |
| A connection between tempering and entropic mirror descent N Chopin, FR Crucinio, A Korba International Conference of Machine Learning, 2024 | 12 | 2024 |
| Mirror and preconditioned gradient descent in wasserstein space C Bonet, T Uscidda, A David, PC Aubin-Frankowski, A Korba arXiv preprint arXiv:2406.08938, 2024 | 6 | 2024 |
| Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians T Huix, A Korba, A Durmus, E Moulines International Conference of Machine Learning, 2024 | 6 | 2024 |
| Learning from ranking data: theory and methods A Korba Université Paris Saclay (COmUE), 2018 | 6 | 2018 |
| Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study T Huix, S Majewski, A Durmus, E Moulines, A Korba arXiv preprint arXiv:2207.03859, 2022 | 4 | 2022 |
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindПодтвержден адрес электронной почты в домене gatsby.ucl.ac.uk
