A LIMITATION OF THE PAC-BAYES FRAMEWORK

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

PRIVATE LEARNING IMPLIES ONLINE LEARNING: AN EFFICIENT REDUCTION

von Gonen, Alon
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

A Resilient Distributed Boosting Algorithm

von Filmus, Yuval
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 8 of 33 (2023)

Synthetic Data Generators - Sequential and Private

von Bousquet, Olivier
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

LIMITS OF PRIVATE LEARNING WITH ACCESS TO PUBLIC DATA

von Bassily, Raef
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 13 of 20 (2020)

LEARNING FROM MIXTURES OF PRIVATE AND PUBLIC POPULATIONS

von Bassily, Raef
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 4 of 27 (2021)

Universal Rates for Interactive Learning

von Hanneke, Steve
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 37 of 50 (2023)

ONLINE AGNOSTIC BOOSTING VIA REGRET MINIMIZATION

von Brukhim, Nataly
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

On the Perceptron's Compression

von Moran, Shay
Veröffentlicht in CiE (16. : 2020 : Online) Beyond the horizon of computability (2020)

Integral Probability Metrics PAC-Bayes Bounds

von Amit, Ron
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 5 of 50 (2023)

AN ADAPTIVE NEAREST NEIGHBOR RULE FOR CLASSIFICATION

von Balsubramani, Akshay
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Towards a Unified Information-Theoretic Framework for Generalization

von Haghifam, Mahdi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 32 of 36 (2022)

LEARNING TO SCREEN

von Cohen, Alon
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

On Optimal Learning Under Targeted Data Poisoning

von Hanneke, Steve
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 40 of 50 (2023)

Multiclass Boosting and the Cost of Weak Learning

von Brukhim, Nataly
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 4 of 36 (2022)

PRIVATE QUERY RELEASE ASSISTED BY PUBLIC DATA

von Bassily, Raef
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 1 of 15 (2021)