ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.05625
  4. Cited By
What You See May Not Be What You Get: UCB Bandit Algorithms Robust to
  ε-Contamination

What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination

12 October 2019
Laura Niss
Ambuj Tewari
ArXivPDFHTML

Papers citing "What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination"

2 / 2 papers shown
Title
Better Algorithms for Stochastic Bandits with Adversarial Corruptions
Better Algorithms for Stochastic Bandits with Adversarial Corruptions
Anupam Gupta
Tomer Koren
Kunal Talwar
AAML
108
152
0
22 Feb 2019
High Dimensional Robust $M$-Estimation: Arbitrary Corruption and Heavy
  Tails
High Dimensional Robust MMM-Estimation: Arbitrary Corruption and Heavy Tails
Liu Liu
Tianyang Li
Constantine Caramanis
40
14
0
24 Jan 2019
1