ON CONVERGENCE AND GENERALIZATION OF DROPOUT TRAINING

von Mianjy, Poorya
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 26 of 27 (2021)

ON DIFFERENTIALLY PRIVATE GRAPH SPARSIFICATION AND APPLICATIONS

von Arora, Raman
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

EFFICIENT CONVEX RELAXATIONS FOR STREAMING PCA

von Arora, Raman
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

ROBUST LEARNING FOR DATA POISONING ATTACKS

von WANG, YUNJUAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 14 of 16 (2022)

Adversarial Robustness of Supervised Sparse Coding

von Sulam, Jeremias
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 3 of 27 (2021)

BANDITS WITH FEEDBACK GRAPHS AND SWITCHING COSTS

von Arora, Raman
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

DROPOUT: EXPLICIT FORMS AND CAPACITY CONTROL

von ARORA, RAMAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)

Adversarial Robustness is at Odds with Lazy Training

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

Differentially Private Generalized Linear Models Revisited

von Arora, Raman
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 29 of 50 (2023)

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation

von Nguyen-Tang, Thanh
Veröffentlicht in AAAI Conference on Artificial Intelligence (37. : 2023 : Washington, DC; Online) 37th AAAI Conference on Artificial Intelligence (AAAI-23) ; Volume 8, part 1 of 2 (2023)

COMMUNICATION-EFFICIENT DISTRIBUTED SGD WITH SKETCHING

von Ivkin, Nikita
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)