Assessment and determination of robustness of structures

von Narasimhan, Harikrishna
Veröffentlicht 2012

Training Over-parameterized Models with Non-decomposable Objectives

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

FAIR PERFORMANCE METRIC ELICITATION

von Hiranandani, Gaurush
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27 (2021)

ON MAKING STOCHASTIC CLASSIFIERS DETERMINISTIC

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

IMPLICIT RATE-CONSTRAINED OPTIMIZATION OF NON-DECOMPOSABLE OBJECTIVES

von KUMAR, ABHISHEK
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

OPTIMIZING GENERALIZED RATE METRICS WITH THREE PLAYERS

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

CONSISTENT PLUG-IN CLASSIFIERS FOR COMPLEX OBJECTIVES AND CONSTRANTS

von Tavker, Shiv Kumar
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

Approximate Heavily-Constrained Learning with Lagrange Multiplier Models

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

Post-hoc estimators for learning to defer to an expert

von Narasimhan, Harikrishna
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 38 of 50 (2023)

OPTIMIZING BLACK-BOX METRICS WITH ITERATIVE EXAMPLE WEIGHTING

von HIRANANDANI, GAURUSH
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 6 of 16 (2022)

OPTIMIZING BLACK-BOX METRICS WITH ADAPTIVE SURROGATES

von Jiang, Qijia
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 7 of 15 (2021)

ROBUST OPTIMIZATION FOR FAIRNESS WITH NOISY PROTECTED GROUPS

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