convergence rate

Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023 Learning-Rate-Free Learning by D-Adaptation ICML 2023 Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization AISTATS 2023 Linearization Algorithms for Fully Composite Optimization COLT 2023 Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023 Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness COLT 2023 Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NeurIPS 2023 Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023 Nonparametric Iterative Machine Teaching ICML 2023 On Accelerated Perceptrons and Beyond ICLR 2023 On Generalization Bounds for Projective Clustering NeurIPS 2023 On the Convergence of AdaGrad(Norm) on R^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration ICLR 2023 On the Convergence of SARSA with Linear Function Approximation ICML 2023 On the Convergence Rate of Gaussianization with Random Rotations ICML 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 On the Lower Bound of Minimizing Polyak-Łojasiewicz functions COLT 2023 On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making NeurIPS 2023 Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes NeurIPS 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Over-Parameterization Exponentially Slows Down Gradient Descent for Learning a Single Neuron COLT 2023 “Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023 Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023 Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima NeurIPS 2023 Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property ICLR 2023