Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini's Regret

22 February 2022

Papers citing "Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini's Regret"

12 / 12 papers shown

Title
Learning from Snapshots of Discrete and Continuous Data Streams Pramith Devulapalli Steve Hanneke 56 0 0 08 Dec 2024
Thompson Sampling in Partially Observable Contextual Bandits Hongju Park Mohamad Kazem Shirani Faradonbeh 31 2 0 15 Feb 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number Yuxiao Wen Yanjun Han Zhengyuan Zhou 42 1 0 12 Feb 2024
Randomized Confidence Bounds for Stochastic Partial Monitoring M. Heuillet Ola Ahmad Audrey Durand 36 1 0 07 Feb 2024
On the Minimax Regret in Online Ranking with Top-k Feedback Mingyuan Zhang Ambuj Tewari 13 0 0 05 Sep 2023
The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations Nicolò Cesa-Bianchi Tommaso Cesari Roberto Colomboni Federico Fusco S. Leonardi 38 7 0 14 Jul 2023
Repeated Bilateral Trade Against a Smoothed Adversary Nicolò Cesa-Bianchi Tommaso Cesari Roberto Colomboni Federico Fusco S. Leonardi 36 16 0 21 Feb 2023
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits Nived Rajaraman Yanjun Han Jiantao Jiao Kannan Ramchandran 27 1 0 12 Feb 2023
An Information-Theoretic Analysis of Nonstationary Bandit Learning Seungki Min Daniel Russo 31 6 0 09 Feb 2023
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient Dylan J. Foster Noah Golowich Yanjun Han OffRL 28 29 0 19 Jan 2023
On the Complexity of Adversarial Decision Making Dylan J. Foster Alexander Rakhlin Ayush Sekhari Karthik Sridharan AAML 31 28 0 27 Jun 2022
Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations Hongju Park Mohamad Kazem Shirani Faradonbeh OffRL 29 2 0 10 Apr 2022