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convergence analysis

394 papers

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stochastic gradient descent (1088) convergence rate (606) stochastic optimization (1060) non-convex optimization (546) gradient descent (1143) federated learning (1320) neural network optimization (1293) reinforcement learning (4122) distributed learning (563) neural network (6616)

Papers

A Unified Convergence Theorem for Stochastic Optimization Methods NIPS 2022
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NIPS 2022
Revisit last-iterate convergence of mSGD under milder requirement on step size NIPS 2022
Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution NIPS 2022
On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NIPS 2022
Nonlinear MCMC for Bayesian Machine Learning NIPS 2022
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings AAAI 2022
Understanding the unstable convergence of gradient descent ICML 2022
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games NIPS 2022
Differentially Private Federated Learning With Local Regularization and Sparsification CVPR 2022
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NIPS 2022
Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions NIPS 2022
Personalized Federated Learning with Contextualized Generalization IJCAI 2022
Deterministic policy gradient: Convergence analysis UAI 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond NIPS 2022
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract) IJCAI 2022
A Unified Analysis of Federated Learning with Arbitrary Client Participation NIPS 2022
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NIPS 2022
Convergence of online k-means AISTATS 2022
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022
Gradient Temporal Difference with Momentum: Stability and Convergence AAAI 2022
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity ICML 2022
Iterative Calculus of Voting under Plurality AAAI 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NIPS 2022