FOLLOW THE PERTURBED LEADER: OPTIMISM AND FAST PARALLEL ALGORITHMS FOR SMOOTH MINIMAX GAMES

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

Do Input Gradients Highlight Discriminative Features?

von Shah, Harshay
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 3 of 36 (2022)

EFFICIENT DOMAIN GENERALIZATION VIA COMMON-SPECIFIC LOW-RANK DECOMPOSITION

von Piratla, Vihari
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 10 of 15 (2021)

OPTIMAL REGRET ALGORITHM FOR PSEUDO-1D BANDIT CONVEX OPTIMIZATION

von SAHA, AADIRUPA
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 12 of 16 (2022)

Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness

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

MOREL: MODEL-BASED OFFLINE REINFORCEMENT LEARNING

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

Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems

von Kowshik, Suhas
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 11 of 36 (2022)

Streaming Linear System Identification with Reverse Experience Replay

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

PROJECTION EFFICIENT SUBGRADIENT METHOD AND OPTIMAL NONSMOOTH FRANK-WOLFE METHOD

von Thekumparampil, Kiran K.
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)

EFFICIENT ALGORITHMS FOR SMOOTH MINIMAX OPTIMIZATION

von Thekumparampil, Kiran K.
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

Statistically and Computationally Efficient Linear Meta-representation Learning

von Thekumparampil, Kiran K
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

LEAST SQUARES REGRESSION WITH MARKOVIAN DATA: FUNDAMENTAL LIMITS AND ALGORITHMS

von Nagaraj, Dheeraj
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)

THE PITFALLS OF SIMPLICITY BIAS IN NEURAL NETWORKS

von Shah, Harshay
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 12 of 27 (2021)

Reproducibility in Optimization: Theoretical Framework and Limits

von Ahn, Kwangjun
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 24 of 50 (2023)