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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

Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023
GloptiNets: Scalable Non-Convex Optimization with Certificates NIPS 2023
Coordinate Descent Methods for Fractional Minimization ICML 2023
Optimizing NOTEARS Objectives via Topological Swaps ICML 2023
Convex and Non-convex Optimization Under Generalized Smoothness NIPS 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
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation CVPR 2023
Time-Independent Information-Theoretic Generalization Bounds for SGLD NIPS 2023
Accelerated Stochastic Optimization Methods under Quasar-convexity ICML 2023
High Probability Convergence of Stochastic Gradient Methods ICML 2023
Online Control for Meta-optimization NIPS 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks NIPS 2023
Optimization for Amortized Inverse Problems ICML 2023
Special Properties of Gradient Descent with Large Learning Rates ICML 2023
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation JMLR 2023
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance ICML 2023
Linear Regularizers Enforce the Strict Saddle Property AAAI 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023
Approximate Inference in Logical Credal Networks IJCAI 2023
A Guide Through the Zoo of Biased SGD NIPS 2023
Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 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