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Yasin Abbasi Yadkori
Yasin Abbasi Yadkori
Google DeepMind
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Improved algorithms for linear stochastic bandits
Y Abbasi-Yadkori, C Szepesvári, D Pal
Advances in Neural Information Processing Systems, 2312-2320, 2011
21572011
Regret Bounds for the Adaptive Control of Linear Quadratic Systems.
Y Abbasi-Yadkori, C Szepesvári
COLT, 1-26, 2011
4542011
Fast approximate nearest-neighbor search with k-nearest neighbor graph
K Hajebi, Y Abbasi-Yadkori, H Shahbazi, H Zhang
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
2922011
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits.
Y Abbasi-Yadkori, D Pal, C Szepesvari
AISTATS 22, 1-9, 2012
1962012
Sharp Convergence Rates for Langevin Dynamics in the Nonconvex Setting
X Cheng, NS Chatterji, Y Abbasi-Yadkori, PL Bartlett, MI Jordan
arXiv preprint arXiv:1805.01648, 2018
1902018
POLITEX: Regret bounds for policy iteration using expert prediction
Y Abbasi-Yadkori, P Bartlett, K Bhatia, N Lazic, C Szepesvári, G Weisz
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
1562019
POLITEX: Regret Bounds for Policy Iteration Using Expert Prediction
Y Abbasi-Yadkori, PL Bartlett, K Bhatia, N Lazic, C Szepesvári, G Weisz
1562019
Conservative contextual linear bandits
A Kazerouni, M Ghavamzadeh, YA Yadkori, B Van Roy
Advances in Neural Information Processing Systems, 3910-3919, 2017
1242017
Model-Free Linear Quadratic Control via Reduction to Expert Prediction
Y Abbasi-Yadkori, N Lazic, C Szepesvari
The 22nd International Conference on Artificial Intelligence and Statistics, 2019
120*2019
Model selection in contextual stochastic bandit problems
A Pacchiano, M Phan, Y Abbasi Yadkori, A Rao, J Zimmert, T Lattimore, ...
Advances in Neural Information Processing Systems 33, 10328-10337, 2020
1112020
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Y Abbasi-Yadkori, P Bartlett, V Kanade, Y Seldin, C Szepesvari
Neural Information Processing Systems, 2013
1062013
Online Learning for Linearly Parametrized Control Problems
Y Abbasi-Yadkori
University of Alberta, 2012
952012
Online least squares estimation with self-normalized processes: An application to bandit problems
Y Abbasi-Yadkori, D Pál, C Szepesvári
arXiv preprint arXiv:1102.2670, 2011
802011
Offline Evaluation of Ranking Policies with Click Models
S Li, Y Abbasi-Yadkori, B Kveton, S Muthukrishnan, V Vinay, Z Wen
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
772018
Prediction with limited advice and multiarmed bandits with paid observations
Y Seldin, P Bartlett, K Crammer, Y Abbasi-Yadkori
International Conference on Machine Learning, 280-287, 2014
772014
Bayesian Optimal Control of Smoothly Parameterized Systems
Y Abbasi-Yadkori, C Szepesvári
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2015
76*2015
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments.
Y Seldin, C Szepesvári, P Auer, Y Abbasi-Yadkori
EWRL, 103-116, 2012
702012
Bootstrapping upper confidence bound
B Hao, YA Yadkori, Z Wen, G Cheng
Advances in Neural Information Processing Systems, 12123-12133, 2019
682019
Bootstrapping upper confidence bound
B Hao, YA Yadkori, Z Wen, G Cheng
Advances in Neural Information Processing Systems, 12123-12133, 2019
682019
Best of both worlds: Stochastic & adversarial best-arm identification
Y Abbasi-Yadkori, P Bartlett, V Gabillon, A Malek, M Valko
Conference on Learning Theory, 2018
582018
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