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non-convex optimization

546 papers

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Also known as

IRLS

Co-occurring keywords

stochastic gradient descent (1088) stochastic optimization (1060) gradient descent (1143) convergence rate (606) convergence analysis (394) variance reduction (520) nonconvex optimization (316) saddle point (95) matrix factorization (529) online learning (1770)

Papers

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication NIPS 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data NIPS 2023
Loss Balancing for Fair Supervised Learning ICML 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023
GloptiNets: Scalable Non-Convex Optimization with Certificates NIPS 2023
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance ICML 2023
Improving the Model Consistency of Decentralized Federated Learning ICML 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks NIPS 2023
The Crucial Role of Normalization in Sharpness-Aware Minimization NIPS 2023
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023
Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition AISTATS 2023
Time-Independent Information-Theoretic Generalization Bounds for SGLD NIPS 2023
Private Non-Convex Federated Learning Without a Trusted Server AISTATS 2023
Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023
Online Control for Meta-optimization NIPS 2023
Smoothly Giving up: Robustness for Simple Models AISTATS 2023
Fast Block Coordinate Descent for Non-Convex Group Regularizations AISTATS 2023
Convex and Non-convex Optimization Under Generalized Smoothness NIPS 2023
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD COLT 2023
Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022