Gradient-Variation Bound for Online Convex Optimization with Constraints

von Qiu, Shuang
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)

DIRECT ESTIMATION OF DIFFERENTIAL FUNCTIONAL GRAPHICAL MODELS

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

CONVERGENT POLICY OPTIMIZATION FOR SAFE REINFORCEMENT LEARNING

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

Pessimism Meets VCG: Learning Dynamic Mechanism Design Via Offline Reinforcement Learning

von Lyu, Boxiang
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 18 of 33 (2023)

ROBUST INFERENCE FOR HIGH-DIMENSIONAL LINEAR MODELS VIA RESIDUAL RANDOMIZATION

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

Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach

von Liao, Luofeng
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 11 of 27 (2021)