Smoothed Analysis with Adaptive Adversaries

16 February 2021

Papers citing "Smoothed Analysis with Adaptive Adversaries"

9 / 9 papers shown

Title
Beyond IID: data-driven decision-making in heterogeneous environments Omar Besbes Will Ma Omar Mouchtaki 42 7 0 03 Jan 2025
Prospective Learning: Learning for a Dynamic Future Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 63 0 0 31 Oct 2024
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms Yichen Li Chicheng Zhang OffRL 31 0 0 28 Dec 2023
Repeated Bilateral Trade Against a Smoothed Adversary Nicolò Cesa-Bianchi Tommaso Cesari Roberto Colomboni Federico Fusco S. Leonardi 36 16 0 21 Feb 2023
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes Lunjia Hu Charlotte Peale 40 6 0 16 Nov 2022
Online Prediction in Sub-linear Space Binghui Peng Fred Zhang 23 16 0 16 Jul 2022
Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions Adam Block Max Simchowitz 44 11 0 25 May 2022
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries Nika Haghtalab Yanjun Han Abhishek Shetty Kunhe Yang 32 23 0 17 Feb 2022
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification N. Alon Omri Ben-Eliezer Y. Dagan Shay Moran M. Naor E. Yogev 77 51 0 22 Jan 2021