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Adversarial Laws of Large Numbers and Optimal Regret in Online
  Classification

Adversarial Laws of Large Numbers and Optimal Regret in Online Classification

22 January 2021
N. Alon
Omri Ben-Eliezer
Y. Dagan
Shay Moran
M. Naor
E. Yogev
ArXivPDFHTML

Papers citing "Adversarial Laws of Large Numbers and Optimal Regret in Online Classification"

3 / 3 papers shown
Title
Uniform Approximations for Randomized Hadamard Transforms with
  Applications
Uniform Approximations for Randomized Hadamard Transforms with Applications
Yeshwanth Cherapanamjeri
Jelani Nelson
17
11
0
03 Mar 2022
Adversarial Robustness of Streaming Algorithms through Importance
  Sampling
Adversarial Robustness of Streaming Algorithms through Importance Sampling
Vladimir Braverman
Avinatan Hassidim
Yossi Matias
Mariano Schain
Sandeep Silwal
Samson Zhou
AAML
OOD
17
38
0
28 Jun 2021
A Framework for Adversarially Robust Streaming Algorithms
A Framework for Adversarially Robust Streaming Algorithms
Omri Ben-Eliezer
Rajesh Jayaram
David P. Woodruff
E. Yogev
AAML
12
91
0
31 Mar 2020
1