Online and Distribution-Free Robustness: Regression and Contextual
Bandits with Huber Contamination

Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination

8 October 2020

Frederic Koehler

Papers citing "Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination"

13 / 13 papers shown

Title
Split Conformal Prediction under Data Contamination Jase Clarkson Wenkai Xu Mihai Cucuringu Gesine Reinert 52 3 0 10 Jul 2024
Non-Stationary Latent Auto-Regressive Bandits Anna L. Trella Walter Dempsey Asim H. Gazi Ziping Xu Finale Doshi-Velez Susan A. Murphy 26 1 0 05 Feb 2024
On Private and Robust Bandits Yulian Wu Xingyu Zhou Youming Tao Di Wang 24 5 0 06 Feb 2023
SQ Lower Bounds for Learning Single Neurons with Massart Noise Ilias Diakonikolas D. Kane Lisheng Ren Yuxin Sun 30 6 0 18 Oct 2022
Minimax Rates for Robust Community Detection Allen Liu Ankur Moitra 24 13 0 25 Jul 2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models Pranjal Awasthi Abhimanyu Das Weihao Kong Rajat Sen 25 6 0 09 Jun 2022
Robust estimation algorithms don't need to know the corruption level Ayush Jain A. Orlitsky V. Ravindrakumar 21 6 0 11 Feb 2022
Robust Voting Rules from Algorithmic Robust Statistics Allen Liu Ankur Moitra 26 4 0 13 Dec 2021
Kalman Filtering with Adversarial Corruptions Sitan Chen Frederic Koehler Ankur Moitra Morris Yau AAML 27 10 0 11 Nov 2021
ReLU Regression with Massart Noise Ilias Diakonikolas Jongho Park Christos Tzamos 56 11 0 10 Sep 2021
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination Dylan J. Foster A. Krishnamurthy 48 43 0 05 Jul 2021
Learning GMMs with Nearly Optimal Robustness Guarantees Allen Liu Ankur Moitra 26 15 0 19 Apr 2021
Settling the Robust Learnability of Mixtures of Gaussians Allen Liu Ankur Moitra 40 41 0 06 Nov 2020