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finite-sample analysis

24 papers

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Co-occurring keywords

regret bound (1926) stochastic approximation (101) off-policy learning (228) temporal difference learning (149) reinforcement learning (4352) stochastic optimization (1060) finite-sample convergence (3) generalization bound (652) convergence rate (607) linear function approximation (101)

Papers

On the Expected Size of Conformal Prediction Sets AISTATS 2024
Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts ICML 2023
A finite-sample analysis of multi-step temporal difference estimates L4DC 2023
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis ICML 2022
Exact Asymptotics for Linear Quadratic Adaptive Control JMLR 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NIPS 2021
On Learning Continuous Pairwise Markov Random Fields AISTATS 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm ICML 2021
Minimax Classification with 0-1 Loss and Performance Guarantees NIPS 2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes NIPS 2020
Finite-Sample Analysis for SARSA with Linear Function Approximation NIPS 2019
Reinforcement Learning in Configurable Continuous Environments ICML 2019
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators NIPS 2016
Analysis of Classification-based Policy Iteration Algorithms JMLR 2016
Abstraction Selection in Model-based Reinforcement Learning ICML 2015
A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models AISTATS 2014
The Fast Convergence of Incremental PCA NIPS 2013
Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NIPS 2012
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences COLT 2011
Generalization Error Bounds for Bayesian Mixture Algorithms JMLR 2003