asymptotic convergence

Almost Surely Asymptotically Constant Graph Neural Networks NeurIPS 2024 A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness NeurIPS 2024 Learning from Streaming Data when Users Choose ICML 2024 Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation AISTATS 2022 Convergence of online k-means AISTATS 2022 Network Regression with Graph Laplacians JMLR 2022 Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022 Accelerated Learning with Robustness to Adversarial Regressors L4DC 2021 Nonlinear Distributional Gradient Temporal-Difference Learning ICML 2019 Target-Based Temporal-Difference Learning ICML 2019 Large-Scale Data-Dependent Kernel Approximation AISTATS 2017 Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016 Generalization Bounds for Domain Adaptation NeurIPS 2012