linear convergence

A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022 Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum L4DC 2022 DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery NeurIPS 2022 Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022 Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems AAAI 2022 Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis ICML 2022 Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity NeurIPS 2022 On the Convergence Rates of Policy Gradient Methods JMLR 2022 Provable Tensor-Train Format Tensor Completion by Riemannian Optimization JMLR 2022 A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! AISTATS 2021 An exact solver for the Weston-Watkins SVM subproblem ICML 2021 DeEPCA: Decentralized Exact PCA with Linear Convergence Rate JMLR 2021 Frank-Wolfe with a Nearest Extreme Point Oracle COLT 2021 Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate NeurIPS 2021 Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding AAAI 2021 Learning Graph Neural Networks with Approximate Gradient Descent AAAI 2021 Leveraging Non-uniformity in First-order Non-convex Optimization ICML 2021 Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NeurIPS 2021 Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models NeurIPS 2021 Meta Learning in the Continuous Time Limit AISTATS 2021 On Convergence of Gradient Expected Sarsa(λ) AAAI 2021 On the Linear Convergence of Policy Gradient Methods for Finite MDPs AISTATS 2021 Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth ICML 2021 XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021 An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning AAAI 2020