ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.04845
  4. Cited By
Smoothed Analysis of Sequential Probability Assignment

Smoothed Analysis of Sequential Probability Assignment

Neural Information Processing Systems (NeurIPS), 2023
8 March 2023
Alankrita Bhatt
Nika Haghtalab
Abhishek Shetty
ArXiv (abs)PDFHTMLGithub

Papers citing "Smoothed Analysis of Sequential Probability Assignment"

7 / 7 papers shown
Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed Benchmarks
Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed BenchmarksAnnual Conference Computational Learning Theory (COLT), 2025
Omar Montasser
Abhishek Shetty
Nikita Zhivotovskiy
359
2
0
14 Apr 2025
Sequential Probability Assignment with Contexts: Minimax Regret,
  Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum LikelihoodNeural Information Processing Systems (NeurIPS), 2024
Ziyi Liu
Idan Attias
Daniel M. Roy
187
1
0
04 Oct 2024
The SMART approach to instance-optimal online learning
The SMART approach to instance-optimal online learning
Siddhartha Banerjee
Alankrita Bhatt
Chao Yu
241
0
0
27 Feb 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
253
9
0
22 Feb 2024
Online Distribution Learning with Local Private Constraints
Online Distribution Learning with Local Private Constraints
Jin Sima
Changlong Wu
O. Milenkovic
Wojtek Szpankowski
237
0
0
01 Feb 2024
Oracle-Efficient Hybrid Online Learning with Unknown Distribution
Oracle-Efficient Hybrid Online Learning with Unknown DistributionAnnual Conference Computational Learning Theory (COLT), 2024
Changlong Wu
Jin Sima
Wojtek Szpankowski
158
2
0
27 Jan 2024
Smooth Nash Equilibria: Algorithms and Complexity
Smooth Nash Equilibria: Algorithms and ComplexityInformation Technology Convergence and Services (ITCS), 2023
C. Daskalakis
Noah Golowich
Nika Haghtalab
Abhishek Shetty
338
6
0
21 Sep 2023
1
Page 1 of 1