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The Sample Complexity of Approximate Rejection Sampling with
  Applications to Smoothed Online Learning

The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning

9 February 2023
Adam Block
Yury Polyanskiy
ArXivPDFHTML

Papers citing "The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning"

8 / 8 papers shown
Title
Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed Benchmarks
Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed Benchmarks
Omar Montasser
Abhishek Shetty
Nikita Zhivotovskiy
24
0
0
14 Apr 2025
Some Notes on the Sample Complexity of Approximate Channel Simulation
Some Notes on the Sample Complexity of Approximate Channel Simulation
Gergely Flamich
Lennie Wells
26
3
0
07 May 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
On the Performance of Empirical Risk Minimization with Smoothed Data
Adam Block
Alexander Rakhlin
Abhishek Shetty
28
3
0
22 Feb 2024
Oracle-Efficient Differentially Private Learning with Public Data
Oracle-Efficient Differentially Private Learning with Public Data
Adam Block
Mark Bun
Rathin Desai
Abhishek Shetty
Steven Wu
FedML
11
2
0
13 Feb 2024
Smooth Nash Equilibria: Algorithms and Complexity
Smooth Nash Equilibria: Algorithms and Complexity
C. Daskalakis
Noah Golowich
Nika Haghtalab
Abhishek Shetty
8
4
0
21 Sep 2023
Smoothed Online Learning for Prediction in Piecewise Affine Systems
Smoothed Online Learning for Prediction in Piecewise Affine Systems
Adam Block
Max Simchowitz
Russ Tedrake
19
12
0
26 Jan 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
44
11
0
25 May 2022
Smoothed Analysis with Adaptive Adversaries
Smoothed Analysis with Adaptive Adversaries
Nika Haghtalab
Tim Roughgarden
Abhishek Shetty
AAML
46
49
0
16 Feb 2021
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