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Smoothed Analysis with Adaptive Adversaries

Smoothed Analysis with Adaptive Adversaries

16 February 2021
Nika Haghtalab
Tim Roughgarden
Abhishek Shetty
    AAML
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Papers citing "Smoothed Analysis with Adaptive Adversaries"

6 / 6 papers shown
Title
Beyond IID: data-driven decision-making in heterogeneous environments
Beyond IID: data-driven decision-making in heterogeneous environments
Omar Besbes
Will Ma
Omar Mouchtaki
38
7
0
03 Jan 2025
Prospective Learning: Learning for a Dynamic Future
Prospective Learning: Learning for a Dynamic Future
Ashwin De Silva
Rahul Ramesh
Rubing Yang
Siyu Yu
Joshua T. Vogelstein
Pratik Chaudhari
AI4TS
58
0
0
31 Oct 2024
Agnostic Interactive Imitation Learning: New Theory and Practical
  Algorithms
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
Yichen Li
Chicheng Zhang
OffRL
26
0
0
28 Dec 2023
Efficient and Near-Optimal Smoothed Online Learning for Generalized
  Linear Functions
Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions
Adam Block
Max Simchowitz
38
11
0
25 May 2022
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries
Nika Haghtalab
Yanjun Han
Abhishek Shetty
Kunhe Yang
14
23
0
17 Feb 2022
Adversarial Laws of Large Numbers and Optimal Regret in Online
  Classification
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification
N. Alon
Omri Ben-Eliezer
Y. Dagan
Shay Moran
M. Naor
E. Yogev
67
51
0
22 Jan 2021
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