THE RANDOMIZED MIDPOINT METHOD FOR LOG-CONCAVE SAMPLING

von Shen, Ruoqi
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 3 of 20 (2020)

Data Augmentation as Feature Manipulation

von Shen, Ruoqi
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 24 of 33 (2023)

Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions

von Lee, Yin Tat
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space

von Kook, Yunbum
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 41 of 50 (2023)

Private Convex Optimization in General Norms

von Gopi, Sivakanth
Veröffentlicht in ACM-SIAM Symposium on Discrete Algorithms (34. : 2023 : Florenz; Online) Thirty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2023) ; Volume 7 of 7 (2023)

GENERALIZED LEVERAGE SCORE SAMPLING FOR NEURAL NETWORKS

von Lee, Jason D.
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)

Near-Optimal Randomized Exploration for Tabular Markov Decision Processes

von Xiong, Zhihan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 9 of 50 (2023)

WHEN IS PARTICLE FILTERING EFFICIENT FOR PLANNING IN PARTIALLY OBSERVED LINEAR DYNAMICAL SYSTEMS?

von Du, Simon S.
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 2 of 3 (2022)