No-Regret Learning in Unknown Games with Correlated Payoffs

No-Regret Learning in Unknown Games with Correlated Payoffs

18 September 2019

Pier Giuseppe Sessa

Ilija Bogunovic

Maryam Kamgarpour

Papers citing "No-Regret Learning in Unknown Games with Correlated Payoffs"

10 / 10 papers shown

Title
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 32 0 0 27 Sep 2024
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 23 3 0 01 Dec 2023
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems Shyam Sundhar Ramesh Pier Giuseppe Sessa Andreas Krause Ilija Bogunovic 16 12 0 14 Oct 2022
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games Zifan Wang Yi Shen Zachary I. Bell Scott A. Nivison Michael M. Zavlanos Karl H. Johansson 22 5 0 06 Sep 2022
$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$ Distributionally Robust Bayesian Optimization with $\varphi$ -divergences Hisham Husain Vu-Linh Nguyen Mingming Gong 40 13 0 04 Mar 2022
Contextual Games: Multi-Agent Learning with Side Information Pier Giuseppe Sessa Ilija Bogunovic Andreas Krause Maryam Kamgarpour 41 21 0 13 Jul 2021
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces Zhuoran Yang Chi Jin Zhaoran Wang Mengdi Wang Michael I. Jordan 34 18 0 09 Nov 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 22 77 0 20 Feb 2020
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause V. Cevher 69 89 0 24 Oct 2016
Kernel-based methods for bandit convex optimization Sébastien Bubeck Ronen Eldan Y. Lee 78 163 0 11 Jul 2016