GEOMETRIC RATES OF CONVERGENCE FOR KERNEL-BASED SAMPLING ALGORITHMS

von Khanna, Rajiv
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 3 of 3 (2022)

IMPROVED GUARANTEES AND A MULTIPLE-DESCENT CURVE FOR COLUMN SUBSET SELECTION AND THE NYSTROMMETHOD

von Derezinski, Michal
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 7 of 27 (2021)

LEARNING SPARSE DISTRIBUTIONS USING ITERATIVE HARD THRESHOLDING

von Zhang, Jacky Y.
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 9 of 20 (2020)

LOCALNEWTON: REDUCING COMMUNICATION ROUNDS FOR DISTRIBUTED LEARNING

von Gupta, Vipul
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 1 of 3 (2022)

BOUNDARY THICKNESS AND ROBUSTNESS IN LEARNING MODELS

von Yang, Yaoqing
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 8 of 27 (2021)