Concentration inequalities under sub-Gaussian and sub-exponential conditions

von Maurer, Andreas
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 10 of 36 (2022)

MULTI-TASK AND META-LEARNING WITH SPARSE LINEAR BANDITS

von Cella, Leonardo
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 3 of 3 (2022)

ESTIMATING WEIGHTED AREAS UNDER THE ROC CURVE

von Maurer, Andreas
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 10 of 27 (2021)

THE ADVANTAGE OF CONDITIONAL META-LEARNING FOR BIASED REGULARIZATION AND FINE TUNING

von Denevi, Giulia
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

Distributed Zero-Order Optimization under Adversarial Noise

von Akhavan, Arya
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 13 of 36 (2022)

BEST MODEL IDENTIFICATION: A RESTED BANDIT FORMULATION

von CELLA, LEONARDO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 2 of 16 (2022)

Distribution Regression with Sliced Wasserstein Kernels

von Meunier, Dimitri
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 19 of 33 (2023)

The Role of Global Labels in Few-Shot Classification and How to Infer Them

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

ONLINE PARAMETER-FREE LEARNING OF MULTIPLE LOW VARIANCE TASKS

von DENEVI, GIULIA
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 2 of 3 (2021)

Conditional Meta-Learning of Linear Representations

von Denevi, Giulia
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 1 of 50 (2023)

Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits

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

Taking Advantage of Multitask Learning for Fair Classification

von Oneto, Luca
Veröffentlicht in AAAI/ACM Conference on AI, Ethics, and Society (2. : 2019 : Honolulu, Hawaii) AIES'19 (2019)

A Gang of Adversarial Bandits

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

ONLINE-WITHIN-ONLINE META-LEARNING

von Denevi, Giulia
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

A gradient estimator via L1-randomization for online zero-order optimization with two point feedback

von Akhavan, Arya
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 11 of 50 (2023)

Bregman Neural Networks

von Frecon, Jordan
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 9 of 33 (2023)

Implicit Kernel Meta-Learning Using Kernel Integral Forms

von Falk, John Isak Texas
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (38. : 2022 : Eindhoven) 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022) ; Volume 1 of 3 (2023)

ROBUST UNSUPERVISED LEARNING VIA L-STATISTIC MINIMIZATION

von MAURER, ANDREAS
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

FAIR REGRESSION VIA PLUG-IN ESTIMATOR AND RECALIBRATION WITH STATISTICAL GUARANTEES

von Chzhen, Evgenii
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)

Fair regression with Wasserstein barycenters

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