convergence guarantee

The probability flow ODE is provably fast NeurIPS 2023 Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NeurIPS 2023 Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization ICML 2022 AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning AISTATS 2022 A general sample complexity analysis of vanilla policy gradient AISTATS 2022 Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev COLT 2022 A Simple Guard for Learned Optimizers ICML 2022 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Unifying Framework of Off-Policy General Value Function Evaluation NeurIPS 2022 Chaining Value Functions for Off-Policy Learning AAAI 2022 Communication-Efficient Adaptive Federated Learning ICML 2022 Complex Momentum for Optimization in Games AISTATS 2022 Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering ICML 2022 Convergence for score-based generative modeling with polynomial complexity NeurIPS 2022 Convergence of Uncertainty Sampling for Active Learning ICML 2022 Convergent and Efficient Deep Q Learning Algorithm ICLR 2022 Convergent Graph Solvers ICLR 2022 Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features ICLR 2022 Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information ICLR 2022 Dynamic relocation in ridesharing via fixpoint construction UAI 2022 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NeurIPS 2022 Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022 Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs ICLR 2022 Improved analysis for a proximal algorithm for sampling COLT 2022 Independent Natural Policy Gradient always converges in Markov Potential Games AISTATS 2022