convergence rate

Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning NeurIPS 2022 An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022 Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization NeurIPS 2022 Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets ICML 2022 Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022 Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022 A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks ICML 2022 Beyond black box densities: Parameter learning for the deviated components NeurIPS 2022 Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms AISTATS 2022 Constants Matter: The Performance Gains of Active Learning ICML 2022 Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems ICML 2022 Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings AAAI 2022 Convergence Guarantees for the Good-Turing Estimator JMLR 2022 Convergence Rates for Gaussian Mixtures of Experts JMLR 2022 Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness ICML 2022 Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems L4DC 2022 Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022 Correlated Quantization for Distributed Mean Estimation and Optimization ICML 2022 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NeurIPS 2022 Depth is More Powerful than Width with Prediction Concatenation in Deep Forest NeurIPS 2022 Dimension-free convergence rates for gradient Langevin dynamics in RKHS COLT 2022 DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems AAAI 2022 Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022 Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022 Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity AISTATS 2022