Abbasi-Yadkori, Yasin

26 publications

JMLR 2023 A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits Yasin Abbasi-Yadkori, András György, Nevena Lazić

AISTATS 2022 Confident Least Square Value Iteration with Local Access to a Simulator Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvari

ALT 2022 Efficient Local Planning with Linear Function Approximation Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazić, Csaba Szepesvári

ICML 2022 Feature and Parameter Selection in Stochastic Linear Bandits Ahmadreza Moradipari, Berkay Turan, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh

AISTATS 2021 Adaptive Approximate Policy Iteration Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvari

ICML 2021 Improved Regret Bound and Experience Replay in Regularized Policy Iteration Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvari

COLT 2021 On Query-Efficient Planning in MDPs Under Linear Realizability of the Optimal State-Value Function Gellert Weisz, Philip Amortila, Barnabás Janzer, Yasin Abbasi-Yadkori, Nan Jiang, Csaba Szepesvari

AISTATS 2019 Model-Free Linear Quadratic Control via Reduction to Expert Prediction Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvari

UAI 2019 On Densification for Minwise Hashing Tung Mai, Anup Rao, Matt Kapilevich, Ryan Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha

AISTATS 2019 Optimizing over a Restricted Policy Class in MDPs Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis

ICML 2019 POLITEX: Regret Bounds for Policy Iteration Using Expert Prediction Yasin Abbasi-Yadkori, Peter Bartlett, Kush Bhatia, Nevena Lazic, Csaba Szepesvari, Gellert Weisz

AISTATS 2019 Sample Efficient Graph-Based Optimization with Noisy Observations Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton

COLT 2018 Best of Both Worlds: Stochastic & Adversarial Best-Arm Identification Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek, Michal Valko

AISTATS 2017 Hit-and-Run for Sampling and Planning in Non-Convex Spaces Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek

AISTATS 2016 A Fast and Reliable Policy Improvement Algorithm Yasin Abbasi-Yadkori, Peter L. Bartlett, Stephen J. Wright

UAI 2015 Bayesian Optimal Control of Smoothly Parameterized Systems Yasin Abbasi-Yadkori, Csaba Szepesvári

ICML 2015 Large-Scale Markov Decision Problems with KL Control Cost and Its Application to Crowdsourcing Yasin Abbasi-Yadkori, Peter Bartlett, Xi Chen, Alan Malek

ICML 2014 Linear Programming for Large-Scale Markov Decision Problems Alan Malek, Yasin Abbasi-Yadkori, Peter Bartlett

ICML 2014 Prediction with Limited Advice and Multiarmed Bandits with Paid Observations Yevgeny Seldin, Peter Bartlett, Koby Crammer, Yasin Abbasi-Yadkori

ICML 2014 Tracking Adversarial Targets Yasin Abbasi-Yadkori, Peter Bartlett, Varun Kanade

AISTATS 2012 Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits Yasin Abbasi-Yadkori, David Pal, Csaba Szepesvari

IJCAI 2011 Fast Approximate Nearest-Neighbor Search with K-Nearest Neighbor Graph Kiana Hajebi, Yasin Abbasi-Yadkori, Hossein Shahbazi, Hong Zhang

NeurIPS 2011 Improved Algorithms for Linear Stochastic Bandits Yasin Abbasi-yadkori, Dávid Pál, Csaba Szepesvári

COLT 2011 Regret Bounds for the Adaptive Control of Linear Quadratic Systems Yasin Abbasi-Yadkori, Csaba Szepesvári

UAI 2009 Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling Peter Hooper, Yasin Abbasi-Yadkori, Russell Greiner, Bret Hoehn

ICML 2009 Learning When to Stop Thinking and Do Something! Barnabás Póczos, Yasin Abbasi-Yadkori, Csaba Szepesvári, Russell Greiner, Nathan R. Sturtevant