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. 1705.05091
  4. Cited By
Bandit Regret Scaling with the Effective Loss Range

Bandit Regret Scaling with the Effective Loss Range

15 May 2017
Nicolò Cesa-Bianchi
Ohad Shamir
ArXivPDFHTML

Papers citing "Bandit Regret Scaling with the Effective Loss Range"

5 / 5 papers shown
Title
An algorithm with nearly optimal pseudo-regret for both stochastic and
  adversarial bandits
An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits
P. Auer
Chao-Kai Chiang
22
110
0
27 May 2016
Refined Lower Bounds for Adversarial Bandits
Refined Lower Bounds for Adversarial Bandits
Sébastien Gerchinovitz
Tor Lattimore
AAML
41
59
0
24 May 2016
Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback
Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback
N. Alon
Nicolò Cesa-Bianchi
Claudio Gentile
Shie Mannor
Yishay Mansour
Ohad Shamir
OffRL
147
130
0
30 Sep 2014
Online Learning with Predictable Sequences
Online Learning with Predictable Sequences
Alexander Rakhlin
Karthik Sridharan
112
355
0
18 Aug 2012
From Bandits to Experts: On the Value of Side-Observations
From Bandits to Experts: On the Value of Side-Observations
Shie Mannor
Ohad Shamir
OffRL
126
220
0
13 Jun 2011
1