COPULA-LIKE VARIATIONAL INFERENCE

von Hirt, Marcel
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 4 of 20 (2020)

DG-LMC: A TURN-KEY AND SCALABLE SYNCHRONOUS DISTRIBUTED MCMC ALGORITHM VIA LANGEVIN MONTE CARLO WITHIN GIBBS

von PLASSIER, VINCENT
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 11 of 16 (2022)

FedPop: A Bayesian Approach for Personalised Federated Learning

von Kotelevskii, Nikita
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 12 of 50 (2023)

ASYMPTOTIC GUARANTEES FOR LEARNING GENERATIVE MODELS WITH THE SLICED - WASSERSTEIN DISTANCE

von Nadjahi, Kimia
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 1 of 20 (2020)

QUANTITATIVE PROPAGATION OF CHAOS FOR SGD IN WIDE NEURAL NETWORKS

von Bortoli, Valentin De
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections

von Nadjahi, Kimia
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 15 of 36 (2022)

STATISTICAL AND TOPOLOGICAL PROPERTIES OF SLICED PROBABILITY DIVERGENCES

von Nadjahi, Kimia
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

Local-Global MCMC kernels: the best of both worlds

von Samsonov, Sergey
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 7 of 50 (2023)

MONTE CARLO VARIATIONAL AUTO-ENCODERS

von THIN, ACHILLE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 13 of 16 (2022)

Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize

von Durmus, Alain
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 36 of 36 (2022)

NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform

von Thin, Achille
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 21 of 36 (2022)