stochastic approximation

Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models UAI 2020 Lookahead-Bounded Q-learning ICML 2020 On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration COLT 2020 On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings ICML 2020 The Mean-Squared Error of Double Q-Learning NeurIPS 2020 Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020 Zap Q-Learning With Nonlinear Function Approximation NeurIPS 2020 An Adaptive Empirical Bayesian Method for Sparse Deep Learning NeurIPS 2019 Finite-Sample Analysis for SARSA with Linear Function Approximation NeurIPS 2019 Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019 Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning NeurIPS 2019 Non-asymptotic Analysis of Biased Stochastic Approximation Scheme COLT 2019 On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NeurIPS 2019 Open Problem: Do Good Algorithms Necessarily Query Bad Points? COLT 2019 Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate COLT 2019 Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NeurIPS 2019 Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NeurIPS 2018 Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018 Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation NeurIPS 2018 Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018 Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data NeurIPS 2017 Online Learning with Transductive Regret NeurIPS 2017 Stochastic Approximation for Canonical Correlation Analysis NeurIPS 2017 Stochastic Submodular Maximization: The Case of Coverage Functions NeurIPS 2017 Zap Q-Learning NeurIPS 2017