Yasin Abbasi-Yadkori

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 48

Top Topics

Markov Decision Problems

Policy Iteration

Noisy Observations

Decision Problems

Top Venues

Publications

Yasin Abbasi-Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvári
To Believe or Not to Believe Your LLM. CoRR (2024)
Yasin Abbasi-Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev
Mitigating LLM Hallucinations via Conformal Abstention. CoRR (2024)
Chung-Wei Lee, Qinghua Liu, Yasin Abbasi-Yadkori, Chi Jin, Tor Lattimore, Csaba Szepesvári
Context-lumpable stochastic bandits. CoRR (2023)
Chung-Wei Lee, Qinghua Liu, Yasin Abbasi-Yadkori, Chi Jin, Tor Lattimore, Csaba Szepesvári
Context-lumpable stochastic bandits. NeurIPS (2023)
Ahmadreza Moradipari, Berkay Turan, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh
Feature and Parameter Selection in Stochastic Linear Bandits. ICML (2022)
Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
Confident Least Square Value Iteration with Local Access to a Simulator. AISTATS (2022)
Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
Efficient local planning with linear function approximation. ALT (2022)
Mohammad Javad Azizi, Thang Duong, Yasin Abbasi-Yadkori, András György, Claire Vernade, Mohammad Ghavamzadeh
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms. CoRR (2022)
Yasin Abbasi-Yadkori, András György, Nevena Lazic
A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits. CoRR (2022)
Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári
Adaptive Approximate Policy Iteration. AISTATS (2021)
Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
Improved Regret Bound and Experience Replay in Regularized Policy Iteration. ICML (2021)
Gellért Weisz, Philip Amortila, Barnabás Janzer, Yasin Abbasi-Yadkori, Nan Jiang, Csaba Szepesvári
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function. COLT (2021)
Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári
Optimization Issues in KL-Constrained Approximate Policy Iteration. CoRR (2021)
Gellért Weisz, Philip Amortila, Barnabás Janzer, Yasin Abbasi-Yadkori, Nan Jiang, Csaba Szepesvári
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function. CoRR (2021)
Ahmadreza Moradipari, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh
Parameter and Feature Selection in Stochastic Linear Bandits. CoRR (2021)
Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
Efficient Local Planning with Linear Function Approximation. CoRR (2021)
Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
Improved Regret Bound and Experience Replay in Regularized Policy Iteration. CoRR (2021)
Alexandra Carpentier, Claire Vernade, Yasin Abbasi-Yadkori
The Elliptical Potential Lemma Revisited. CoRR (2020)
Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári
Model Selection in Contextual Stochastic Bandit Problems. CoRR (2020)
Yasin Abbasi-Yadkori, Aldo Pacchiano, My Phan
Regret Balancing for Bandit and RL Model Selection. CoRR (2020)
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton
Sample Efficient Graph-Based Optimization with Noisy Observations. CoRR (2020)
Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári
Provably Efficient Adaptive Approximate Policy Iteration. CoRR (2020)
Aldo Pacchiano, My Phan, Yasin Abbasi-Yadkori, Anup Rao, Julian Zimmert, Tor Lattimore, Csaba Szepesvári
Model Selection in Contextual Stochastic Bandit Problems. NeurIPS (2020)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori
A Structural Graph Representation Learning Framework. WSDM (2020)
Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis
Optimizing over a Restricted Policy Class in MDPs. AISTATS (2019)
Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
Bootstrapping Upper Confidence Bound. CoRR (2019)
Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
Bootstrapping Upper Confidence Bound. NeurIPS (2019)
My Phan, Yasin Abbasi-Yadkori, Justin Domke
Thompson Sampling and Approximate Inference. CoRR (2019)
My Phan, Yasin Abbasi-Yadkori, Justin Domke
Thompson Sampling and Approximate Inference. NeurIPS (2019)
Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
Model-Free Linear Quadratic Control via Reduction to Expert Prediction. AISTATS (2019)
Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári, Gellért Weisz
Exploration-Enhanced POLITEX. CoRR (2019)
Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha
On Densification for Minwise Hashing. UAI (2019)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek
Large-Scale Markov Decision Problems via the Linear Programming Dual. CoRR (2019)
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori, Anup Rao, Branislav Kveton
Sample Efficient Graph-Based Optimization with Noisy Observations. AISTATS (2019)
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
Offline Evaluation of Ranking Policies with Click Models. CoRR (2018)
Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori
New Insights into Bootstrapping for Bandits. CoRR (2018)
Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
Regret Bounds for Model-Free Linear Quadratic Control. CoRR (2018)
Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis
Optimizing over a Restricted Policy Class in Markov Decision Processes. CoRR (2018)
Xiang Cheng, Niladri S. Chatterji, Yasin Abbasi-Yadkori, Peter L. Bartlett, Michael I. Jordan
Sharp Convergence Rates for Langevin Dynamics in the Nonconvex Setting. CoRR (2018)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek, Michal Valko
Best of both worlds: Stochastic & adversarial best-arm identification. COLT (2018)
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
Offline Evaluation of Ranking Policies with Click Models. KDD (2018)
Ali Shameli, Yasin Abbasi-Yadkori
A Continuation Method for Discrete Optimization and its Application to Nearest Neighbor Classification. CoRR (2018)
Branislav Kveton, Csaba Szepesvári, Anup Rao, Zheng Wen, Yasin Abbasi-Yadkori, S. Muthukrishnan
Stochastic Low-Rank Bandits. CoRR (2017)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem. NIPS (2017)
Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis
Posterior Sampling for Large Scale Reinforcement Learning. CoRR (2017)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek
Hit-and-Run for Sampling and Planning in Non-Convex Spaces. AISTATS (2017)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek
Hit-and-Run for Sampling and Planning in Non-Convex Spaces. CoRR (2016)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Stephen J. Wright
A Fast and Reliable Policy Improvement Algorithm. AISTATS (2016)
Wouter M. Koolen, Alan Malek, Peter L. Bartlett, Yasin Abbasi-Yadkori
Minimax Time Series Prediction. NIPS (2015)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing. ICML (2015)
Yasin Abbasi-Yadkori, Csaba Szepesvári
Bayesian Optimal Control of Smoothly Parameterized Systems. UAI (2015)
Yasin Abbasi-Yadkori, Csaba Szepesvári
Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm. CoRR (2014)
Yasin Abbasi-Yadkori, Gergely Neu
Online learning in MDPs with side information. CoRR (2014)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Varun Kanade
Tracking Adversarial Targets. ICML (2014)
Yevgeny Seldin, Peter L. Bartlett, Koby Crammer, Yasin Abbasi-Yadkori
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations. ICML (2014)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Alan Malek
Linear Programming for Large-Scale Markov Decision Problems. CoRR (2014)
Alan Malek, Yasin Abbasi-Yadkori, Peter L. Bartlett
Linear Programming for Large-Scale Markov Decision Problems. ICML (2014)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Varun Kanade, Yevgeny Seldin, Csaba Szepesvári
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions. NIPS (2013)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Csaba Szepesvári
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions CoRR (2013)
Peter Hooper, Yasin Abbasi-Yadkori, Russell Greiner, Bret Hoehn
Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling CoRR (2012)
Yevgeny Seldin, Csaba Szepesvári, Peter Auer, Yasin Abbasi-Yadkori
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments. EWRL (2012)
Yasin Abbasi-Yadkori, Dávid Pál, Csaba Szepesvári
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits. AISTATS (2012)
Yasin Abbasi-Yadkori, Csaba Szepesvári
Regret Bounds for the Adaptive Control of Linear Quadratic Systems. COLT (2011)
Yasin Abbasi-Yadkori, Dávid Pál, Csaba Szepesvári
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems CoRR (2011)
Kiana Hajebi, Yasin Abbasi-Yadkori, Hossein Shahbazi, Hong Zhang
Fast Approximate Nearest-Neighbor Search with k-Nearest Neighbor Graph. IJCAI (2011)
Yasin Abbasi-Yadkori, Dávid Pál, Csaba Szepesvári
Improved Algorithms for Linear Stochastic Bandits. NIPS (2011)
Yasin Abbasi-Yadkori, Joseph Modayil, Csaba Szepesvári
Extending rapidly-exploring random trees for asymptotically optimal anytime motion planning. IROS (2010)
Barnabás Póczos, Yasin Abbasi-Yadkori, Csaba Szepesvári, Russell Greiner, Nathan R. Sturtevant
Learning when to stop thinking and do something! ICML (2009)
Peter Hooper, Yasin Abbasi-Yadkori, Russell Greiner, Bret Hoehn
Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling. UAI (2009)
Mohsen Ravanbakhsh, Yasin Abbasi-Yadkori, Maghsoud Abbaspour, Hamid Sarbazi-Azad
A Heuristic Routing Mechanism Using a New Addressing Scheme CoRR (2007)
Mohsen Ravanbakhsh, Yasin Abbasi-Yadkori, Maghsoud Abbaspour, Hamid Sarbazi-Azad
A heuristic routing mechanism using a new addressing scheme. BIONETICS (2006)