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Session
Oral Session 6
Csaba Szepesvari
Wed Dec 05 11:00 AM -- 11:40 AM (PST) @ Harveys Convention Center Floor, CC
Author Information
Csaba Szepesvari (University of Alberta)
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2021 Spotlight: On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method »
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2023 Poster: Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL »
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2023 Poster: Ordering-based Conditions for Global Convergence of Policy Gradient Methods »
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2023 Poster: Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore »
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2023 Poster: Context-lumpable stochastic bandits »
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2022 Poster: The Role of Baselines in Policy Gradient Optimization »
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2022 Poster: Sample-Efficient Reinforcement Learning of Partially Observable Markov Games »
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2022 Poster: Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs »
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2022 Poster: Near-Optimal Sample Complexity Bounds for Constrained MDPs »
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2022 Poster: Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization »
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2021 Poster: No Regrets for Learning the Prior in Bandits »
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2021 Poster: On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method »
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2021 Poster: Understanding the Effect of Stochasticity in Policy Optimization »
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2021 Poster: On the Role of Optimization in Double Descent: A Least Squares Study »
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2020 Poster: Model Selection in Contextual Stochastic Bandit Problems »
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2020 Poster: ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool »
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2020 Poster: Differentiable Meta-Learning of Bandit Policies »
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2020 Poster: PAC-Bayes Analysis Beyond the Usual Bounds »
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2020 Poster: Variational Policy Gradient Method for Reinforcement Learning with General Utilities »
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2020 Poster: Escaping the Gravitational Pull of Softmax »
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2020 Poster: Online Algorithm for Unsupervised Sequential Selection with Contextual Information »
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2020 Poster: Efficient Planning in Large MDPs with Weak Linear Function Approximation »
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2020 Poster: CoinDICE: Off-Policy Confidence Interval Estimation »
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2020 Spotlight: CoinDICE: Off-Policy Confidence Interval Estimation »
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2019 Poster: Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging »
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2019 Poster: Detecting Overfitting via Adversarial Examples »
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2018 : Datasets and Benchmarks for Causal Learning »
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2018 Poster: TopRank: A practical algorithm for online stochastic ranking »
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2018 Poster: PAC-Bayes bounds for stable algorithms with instance-dependent priors »
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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 »
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2016 Poster: SDP Relaxation with Randomized Rounding for Energy Disaggregation »
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2016 Oral: SDP Relaxation with Randomized Rounding for Energy Disaggregation »
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2015 : Confidence intervals for the mixing time of a reversible Markov chain from a single sample path »
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2015 Poster: Online Learning with Gaussian Payoffs and Side Observations »
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2015 Poster: Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path »
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2015 Poster: Linear Multi-Resource Allocation with Semi-Bandit Feedback »
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2015 Poster: Combinatorial Cascading Bandits »
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2014 Workshop: Novel Trends and Applications in Reinforcement Learning »
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2014 Poster: Universal Option Models »
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2013 Poster: Online Learning with Costly Features and Labels »
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2013 Poster: Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions »
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2012 Poster: Deep Representations and Codes for Image Auto-Annotation »
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2011 Poster: Improved Algorithms for Linear Stochastic Bandits »
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2011 Spotlight: Improved Algorithms for Linear Stochastic Bandits »
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2010 Spotlight: Online Markov Decision Processes under Bandit Feedback »
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2010 Poster: Online Markov Decision Processes under Bandit Feedback »
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2010 Poster: Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs »
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2010 Poster: Parametric Bandits: The Generalized Linear Case »
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2010 Poster: Error Propagation for Approximate Policy and Value Iteration »
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2009 Poster: Multi-Step Dyna Planning for Policy Evaluation and Control »
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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 »
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2008 Poster: Online Optimization in X-Armed Bandits »
Sebastien Bubeck · Remi Munos · Gilles Stoltz · Csaba Szepesvari -
2008 Poster: Regularized Policy Iteration »
Amir-massoud Farahmand · Mohammad Ghavamzadeh · Csaba Szepesvari · Shie Mannor -
2008 Poster: A Convergent O(n) Temporal-difference Algorithm for Off-policy Learning with Linear Function Approxi »
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2007 Poster: Fitted Q-iteration in continuous action-space MDPs »
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