finite-sample analysis

Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018 Iterative Value-Aware Model Learning NeurIPS 2018 Q-learning with Nearest Neighbors NeurIPS 2018 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NeurIPS 2017 Analysis of Classification-based Policy Iteration Algorithms JMLR 2016 Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators NeurIPS 2016 Abstraction Selection in Model-based Reinforcement Learning ICML 2015 A Finite Sample Analysis of the Naive Bayes Classifier JMLR 2015 A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models AISTATS 2014 The Fast Convergence of Incremental PCA NeurIPS 2013 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 2012 Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012 Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NeurIPS 2012 A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences COLT 2011 Cluster Stability for Finite Samples NeurIPS 2007 Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007 Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006 Generalization Error Bounds for Bayesian Mixture Algorithms JMLR 2003