More from the Same Authors

• 2021 Spotlight: On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method »
  Junyu Zhang · Chengzhuo Ni · zheng Yu · Csaba Szepesvari · Mengdi Wang
• 2022 Poster: The Role of Baselines in Policy Gradient Optimization »
  Jincheng Mei · Wesley Chung · Valentin Thomas · Bo Dai · Csaba Szepesvari · Dale Schuurmans
• 2022 Poster: Sample-Efficient Reinforcement Learning of Partially Observable Markov Games »
  Qinghua Liu · Csaba Szepesvari · Chi Jin
• 2022 Poster: Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs »
  Gellért Weisz · András György · Tadashi Kozuno · Csaba Szepesvari
• 2022 Poster: Near-Optimal Sample Complexity Bounds for Constrained MDPs »
  Sharan Vaswani · Lin Yang · Csaba Szepesvari
• 2022 Poster: Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization »
  Hui Yuan · Chengzhuo Ni · Huazheng Wang · Xuezhou Zhang · Le Cong · Csaba Szepesvari · Mengdi Wang
• 2021 Poster: No Regrets for Learning the Prior in Bandits »
  Soumya Basu · Branislav Kveton · Manzil Zaheer · Csaba Szepesvari
• 2021 Poster: On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method »
  Junyu Zhang · Chengzhuo Ni · zheng Yu · Csaba Szepesvari · Mengdi Wang
• 2021 Poster: Understanding the Effect of Stochasticity in Policy Optimization »
  Jincheng Mei · Bo Dai · Chenjun Xiao · Csaba Szepesvari · Dale Schuurmans
• 2021 Poster: On the Role of Optimization in Double Descent: A Least Squares Study »
  Ilja Kuzborskij · Csaba Szepesvari · Omar Rivasplata · Amal Rannen-Triki · Razvan Pascanu
• 2020 Poster: Model Selection in Contextual Stochastic Bandit Problems »
  Aldo Pacchiano · My Phan · Yasin Abbasi Yadkori · Anup Rao · Julian Zimmert · Tor Lattimore · Csaba Szepesvari
• 2020 Poster: ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool »
  Gellert Weisz · András György · Wei-I Lin · Devon Graham · Kevin Leyton-Brown · Csaba Szepesvari · Brendan Lucier
• 2020 Poster: Differentiable Meta-Learning of Bandit Policies »
  Craig Boutilier · Chih-wei Hsu · Branislav Kveton · Martin Mladenov · Csaba Szepesvari · Manzil Zaheer
• 2020 Poster: PAC-Bayes Analysis Beyond the Usual Bounds »
  Omar Rivasplata · Ilja Kuzborskij · Csaba Szepesvari · John Shawe-Taylor
• 2020 Poster: Variational Policy Gradient Method for Reinforcement Learning with General Utilities »
  Junyu Zhang · Alec Koppel · Amrit Singh Bedi · Csaba Szepesvari · Mengdi Wang
• 2020 Poster: Escaping the Gravitational Pull of Softmax »
  Jincheng Mei · Chenjun Xiao · Bo Dai · Lihong Li · Csaba Szepesvari · Dale Schuurmans
• 2020 Poster: Online Algorithm for Unsupervised Sequential Selection with Contextual Information »
  Arun Verma · Manjesh Kumar Hanawal · Csaba Szepesvari · Venkatesh Saligrama
• 2020 Poster: Efficient Planning in Large MDPs with Weak Linear Function Approximation »
  Roshan Shariff · Csaba Szepesvari
• 2020 Spotlight: Variational Policy Gradient Method for Reinforcement Learning with General Utilities »
  Junyu Zhang · Alec Koppel · Amrit Singh Bedi · Csaba Szepesvari · Mengdi Wang
• 2020 Oral: Escaping the Gravitational Pull of Softmax »
  Jincheng Mei · Chenjun Xiao · Bo Dai · Lihong Li · Csaba Szepesvari · Dale Schuurmans
• 2020 Poster: CoinDICE: Off-Policy Confidence Interval Estimation »
  Bo Dai · Ofir Nachum · Yinlam Chow · Lihong Li · Csaba Szepesvari · Dale Schuurmans
• 2020 Spotlight: CoinDICE: Off-Policy Confidence Interval Estimation »
  Bo Dai · Ofir Nachum · Yinlam Chow · Lihong Li · Csaba Szepesvari · Dale Schuurmans
• 2019 Poster: Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging »
  Pooria Joulani · András György · Csaba Szepesvari
• 2019 Poster: Detecting Overfitting via Adversarial Examples »
  Roman Werpachowski · András György · Csaba Szepesvari
• 2018 : Datasets and Benchmarks for Causal Learning »
  Csaba Szepesvari · Isabelle Guyon · Nicolai Meinshausen · David Blei · Elias Bareinboim · Bernhard Schölkopf · Pietro Perona
• 2018 : Model-free vs. Model-based Learning in a Causal World: Some Stories from Online Learning to Rank »
  Csaba Szepesvari
• 2018 Poster: TopRank: A practical algorithm for online stochastic ranking »
  Tor Lattimore · Branislav Kveton · Shuai Li · Csaba Szepesvari
• 2018 Poster: PAC-Bayes bounds for stable algorithms with instance-dependent priors »
  Omar Rivasplata · Emilio Parrado-Hernandez · John Shawe-Taylor · Shiliang Sun · Csaba Szepesvari
• 2017 Poster: Multi-view Matrix Factorization for Linear Dynamical System Estimation »
  Mahdi Karami · Martha White · Dale Schuurmans · Csaba Szepesvari
• 2016 Poster: Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities »
  Ruitong Huang · Tor Lattimore · András György · Csaba Szepesvari
• 2016 Poster: SDP Relaxation with Randomized Rounding for Energy Disaggregation »
  Kiarash Shaloudegi · András György · Csaba Szepesvari · Wilsun Xu
• 2016 Oral: SDP Relaxation with Randomized Rounding for Energy Disaggregation »
  Kiarash Shaloudegi · András György · Csaba Szepesvari · Wilsun Xu
• 2015 : Confidence intervals for the mixing time of a reversible Markov chain from a single sample path »
  Csaba Szepesvari
• 2015 Poster: Online Learning with Gaussian Payoffs and Side Observations »
  Yifan Wu · András György · Csaba Szepesvari
• 2015 Poster: Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path »
  Daniel Hsu · Aryeh Kontorovich · Csaba Szepesvari
• 2015 Poster: Linear Multi-Resource Allocation with Semi-Bandit Feedback »
  Tor Lattimore · Yacov Crammer · Csaba Szepesvari
• 2015 Poster: Black-box optimization of noisy functions with unknown smoothness »
  Jean-Bastien Grill · Michal Valko · Remi Munos · Remi Munos
• 2015 Poster: Combinatorial Cascading Bandits »
  Branislav Kveton · Zheng Wen · Azin Ashkan · Csaba Szepesvari
• 2014 Workshop: Novel Trends and Applications in Reinforcement Learning »
  Csaba Szepesvari · Marc Deisenroth · Sergey Levine · Pedro Ortega · Brian Ziebart · Emma Brunskill · Naftali Tishby · Gerhard Neumann · Daniel Lee · Sridhar Mahadevan · Pieter Abbeel · David Silver · Vicenç Gómez
• 2014 Poster: Universal Option Models »
  hengshuai yao · Csaba Szepesvari · Richard Sutton · Joseph Modayil · Shalabh Bhatnagar
• 2014 Poster: Active Regression by Stratification »
  Sivan Sabato · Remi Munos
• 2014 Poster: Best-Arm Identification in Linear Bandits »
  Marta Soare · Alessandro Lazaric · Remi Munos
• 2014 Poster: Bounded Regret for Finite-Armed Structured Bandits »
  Tor Lattimore · Remi Munos
• 2014 Poster: Efficient learning by implicit exploration in bandit problems with side observations »
  Tomáš Kocák · Gergely Neu · Michal Valko · Remi Munos
• 2014 Poster: Optimistic Planning in Markov Decision Processes Using a Generative Model »
  Balázs Szörényi · Gunnar Kedenburg · Remi Munos
• 2013 Workshop: Bayesian Optimization in Theory and Practice »
  Matthew Hoffman · Jasper Snoek · Nando de Freitas · Michael A Osborne · Ryan Adams · Sebastien Bubeck · Philipp Hennig · Remi Munos · Andreas Krause
• 2013 Poster: Online Learning with Costly Features and Labels »
  Navid Zolghadr · Gábor Bartók · Russell Greiner · András György · Csaba Szepesvari
• 2013 Poster: Thompson Sampling for 1-Dimensional Exponential Family Bandits »
  Nathaniel Korda · Emilie Kaufmann · Remi Munos
• 2013 Poster: Aggregating Optimistic Planning Trees for Solving Markov Decision Processes »
  Gunnar Kedenburg · Raphael Fonteneau · Remi Munos
• 2013 Poster: Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions »
  Yasin Abbasi Yadkori · Peter Bartlett · Varun Kanade · Yevgeny Seldin · Csaba Szepesvari
• 2012 Poster: Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button »
  Joan Fruitet · Alexandra Carpentier · Remi Munos · Maureen Clerc
• 2012 Session: Oral Session 6 »
  Csaba Szepesvari
• 2012 Poster: Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions »
  Alexandra Carpentier · Remi Munos
• 2012 Poster: Deep Representations and Codes for Image Auto-Annotation »
  Jamie Kiros · Csaba Szepesvari
• 2012 Poster: Risk-Aversion in Multi-armed Bandits »
  Amir Sani · Alessandro Lazaric · Remi Munos
• 2011 Poster: Improved Algorithms for Linear Stochastic Bandits »
  Yasin Abbasi Yadkori · David Pal · Csaba Szepesvari
• 2011 Spotlight: Improved Algorithms for Linear Stochastic Bandits »
  Yasin Abbasi Yadkori · David Pal · Csaba Szepesvari
• 2011 Poster: Finite Time Analysis of Stratified Sampling for Monte Carlo »
  Alexandra Carpentier · Remi Munos
• 2011 Poster: Selecting the State-Representation in Reinforcement Learning »
  Odalric-Ambrym Maillard · Remi Munos · Daniil Ryabko
• 2011 Poster: Sparse Recovery with Brownian Sensing »
  Alexandra Carpentier · Odalric-Ambrym Maillard · Remi Munos
• 2011 Session: Spotlight Session 2 »
  Remi Munos
• 2011 Session: Oral Session 1 »
  Remi Munos
• 2011 Poster: Optimistic Optimization of Deterministic Functions »
  Remi Munos
• 2011 Poster: Speedy Q-Learning »
  Mohammad Gheshlaghi Azar · Remi Munos · Mohammad Ghavamzadeh · Hilbert J Kappen
• 2010 Spotlight: Online Markov Decision Processes under Bandit Feedback »
  Gergely Neu · András György · András Antos · Csaba Szepesvari
• 2010 Poster: Online Markov Decision Processes under Bandit Feedback »
  Gergely Neu · András György · Csaba Szepesvari · András Antos
• 2010 Spotlight: LSTD with Random Projections »
  Mohammad Ghavamzadeh · Alessandro Lazaric · Odalric-Ambrym Maillard · Remi Munos
• 2010 Poster: LSTD with Random Projections »
  Mohammad Ghavamzadeh · Alessandro Lazaric · Odalric-Ambrym Maillard · Remi Munos
• 2010 Poster: Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs »
  David Pal · Barnabas Poczos · Csaba Szepesvari
• 2010 Poster: Scrambled Objects for Least-Squares Regression »
  Odalric-Ambrym Maillard · Remi Munos
• 2010 Poster: Parametric Bandits: The Generalized Linear Case »
  Sarah Filippi · Olivier Cappé · Aurélien Garivier · Csaba Szepesvari
• 2010 Poster: Error Propagation for Approximate Policy and Value Iteration »
  Amir-massoud Farahmand · Remi Munos · Csaba Szepesvari
• 2009 Poster: Multi-Step Dyna Planning for Policy Evaluation and Control »
  Hengshuai Yao · Richard Sutton · Shalabh Bhatnagar · Dongcui Diao · Csaba Szepesvari
• 2009 Poster: A General Projection Property for Distribution Families »
  Yao-Liang Yu · Yuxi Li · Dale Schuurmans · Csaba Szepesvari
• 2009 Poster: Sensitivity analysis in HMMs with application to likelihood maximization »
  Pierre-Arnaud Coquelin · Romain Deguest · Remi Munos
• 2009 Poster: Compressed Least-Squares Regression »
  Odalric-Ambrym Maillard · Remi Munos
• 2009 Poster: Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation »
  Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton
• 2009 Spotlight: Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation »
  Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton
• 2008 Poster: Online Optimization in X-Armed Bandits »
  Sebastien Bubeck · Remi Munos · Gilles Stoltz · Csaba Szepesvari
• 2008 Poster: Algorithms for Infinitely Many-Armed Bandits »
  Yizao Wang · Jean-Yves Audibert · Remi Munos
• 2008 Poster: Regularized Policy Iteration »
  Amir-massoud Farahmand · Mohammad Ghavamzadeh · Csaba Szepesvari · Shie Mannor
• 2008 Spotlight: Algorithms for Infinitely Many-Armed Bandits »
  Yizao Wang · Jean-Yves Audibert · Remi Munos
• 2008 Poster: A Convergent O(n) Temporal-difference Algorithm for Off-policy Learning with Linear Function Approxi »
  Richard Sutton · Csaba Szepesvari · Hamid R Maei
• 2008 Poster: Particle Filter-based Policy Gradient in POMDPs »
  Pierre-Arnaud Coquelin · Romain Deguest · Remi Munos