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Michael Arbel
Michael Arbel
Inria - Univ. Grenoble Alpes
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Demystifying mmd gans
M Bińkowski, DJ Sutherland, M Arbel, A Gretton
International Conference on Learning Representations (ICLR) 2018, 2018
12332018
Maximum mean discrepancy gradient flow
M Arbel, A Korba, A Salim, A Gretton
Advances in Neural Information Processing Systems (NeurIPS) 2019, 2019
1292019
Generalized Energy Based Models
M Arbel, L Zhou, A Gretton
International Conference on Learning Representations (ICLR) 2021, 2021
1172021
On gradient regularizers for MMD GANs
M Arbel, DJ Sutherland, M Bińkowski, A Gretton
Advances in Neural Information Processing Systems (NeurIPS) 2018, 2018
982018
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 (NeurIPS) 2020 33, 2020
752020
Annealed Flow Transport Monte Carlo
M Arbel, AGDG Matthews, A Doucet
International Conference on Machine Learning (ICML) 2021, 2021
472021
Tactical Optimism and Pessimism for Deep Reinforcement Learning
T Moskovitz, J Parker-Holder, A Pacchiano, M Arbel, MI Jordan
Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021
442021
Efficient and principled score estimation with Nystr\" om kernel exponential families
DJ Sutherland, H Strathmann, M Arbel, A Gretton
International Conference on Artificial Intelligence and Statistics (AISTATSá…, 2018
412018
Amortized implicit differentiation for stochastic bilevel optimization
M Arbel, J Mairal
International Conference on Learning Representations (ICLR) 2022, 2022
372022
Synchronizing probability measures on rotations via optimal transport
T Birdal, M Arbel, U Simsekli, LJ Guibas
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 1569á…, 2020
332020
Kernel conditional exponential family
M Arbel, A Gretton
International Conference on Artificial Intelligence and Statistics (AISTATSá…, 2018
252018
Continual repeated annealed flow transport Monte Carlo
A Matthews, M Arbel, DJ Rezende, A Doucet
International Conference on Machine Learning, 15196-15219, 2022
242022
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
P Glaser, M Arbel, A Gretton
Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021
242021
Estimating barycenters of measures in high dimensions
S Cohen, M Arbel, MP Deisenroth
arXiv preprint arXiv:2007.07105, 2020
242020
Kernelized Wasserstein Natural Gradient
M Arbel, A Gretton, W Li, G Mont˙far
International Conference on Learning Representations (ICLR) 2020, 2020
202020
Non-Convex Bilevel Games with Critical Point Selection Maps
M Arbel, J Mairal
Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022
182022
Efficient wasserstein natural gradients for reinforcement learning
T Moskovitz, M Arbel, F Huszar, A Gretton
International Conference on Learning Representations (ICLR) 2021, 2021
182021
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
L Thiry, M Arbel, E Belilovsky, E Oyallon
International Conference on Learning Representations (ICLR) 2021, 2021
152021
Towards an Understanding of Default Policies in Multitask Policy Optimization
T Moskovitz, M Arbel, J Parker-Holder, A Pacchiano
International Conference on Artificial Intelligence and Statistics (AISTATSá…, 2022
92022
Maximum likelihood learning of energy-based models for simulation-based inference
P Glaser, M Arbel, A Doucet, A Gretton
72022
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