Model-Based Domain Generalization

von Robey, Alexander
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 24 of 36 (2022)

Probabilistically Robust Learning: Balancing Average and Worst-Case Performance

von Robey, Alexander
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 23 of 33 (2023)

EFFICIENT AND ACCURATE ESTIMATION OF LIPSCHITZ CONSTANTS FOR DEEP NEURAL NETWORKS

von Fazlyab, Mahyar
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

Adversarial Robustness with Semi-Infinite Constrained Learning

von Robey, Alexander
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 8 of 36 (2022)

Probable Domain Generalization via Quantile Risk Minimization

von Eastwood, Cian
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 23 of 50 (2023)