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finite-sample analysis

43 papers

Papers

Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise AAAI 2026 On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples AAAI 2026 On the Expected Size of Conformal Prediction Sets AISTATS 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 A finite-sample analysis of multi-step temporal difference estimates L4DC 2023 Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts ICML 2023 Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning AISTATS 2022 Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch JMLR 2022 On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis ICML 2022 Truncated Emphatic Temporal Difference Methods for Prediction and Control JMLR 2022 Consistency and Finite Sample Behavior of Binary Class Probability Estimation AAAI 2021 Exact Asymptotics for Linear Quadratic Adaptive Control JMLR 2021 Finite Sample Analysis of Average-Reward TD Learning and Q-Learning NeurIPS 2021 Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm ICML 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NeurIPS 2021 On Learning Continuous Pairwise Markov Random Fields AISTATS 2021 Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes NeurIPS 2020 Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020 Minimax Classification with 0-1 Loss and Performance Guarantees NeurIPS 2020 Classification using margin pursuit AISTATS 2019 Finite-Sample Analysis for SARSA with Linear Function Approximation NeurIPS 2019 Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NeurIPS 2019 Reinforcement Learning in Configurable Continuous Environments ICML 2019 Target-Based Temporal-Difference Learning ICML 2019 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018