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On the Performance of Empirical Risk Minimization with Smoothed Data

On the Performance of Empirical Risk Minimization with Smoothed Data

22 February 2024
Adam Block
Alexander Rakhlin
Abhishek Shetty
ArXivPDFHTML

Papers citing "On the Performance of Empirical Risk Minimization with Smoothed Data"

7 / 7 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
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
Oracle-Efficient Hybrid Online Learning with Unknown Distribution
Oracle-Efficient Hybrid Online Learning with Unknown Distribution
Changlong Wu
Jin Sima
Wojtek Szpankowski
15
0
0
27 Jan 2024
Repeated Bilateral Trade Against a Smoothed Adversary
Repeated Bilateral Trade Against a Smoothed Adversary
Nicolò Cesa-Bianchi
Tommaso Cesari
Roberto Colomboni
Federico Fusco
S. Leonardi
31
16
0
21 Feb 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
Learning without Concentration
Learning without Concentration
S. Mendelson
78
334
0
01 Jan 2014
1