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nonconvex optimization

316 papers

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Co-occurring keywords

stochastic gradient descent (1088) stochastic optimization (1060) variance reduction (520) gradient descent (1143) convergence rate (606) non-convex optimization (546) stochastic gradient (296) nonsmooth optimization (49) minimax optimization (186) convergence analysis (394)

Papers

Investigating the Role of Weight Decay in Enhancing Nonconvex SGD CVPR 2025
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management AAAI 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization JMLR 2025
Faster Double Adaptive Gradient Methods AAAI 2025
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions AAAI 2025
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization JMLR 2025
Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration JMLR 2025
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization AAAI 2025
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NIPS 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NIPS 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NIPS 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NIPS 2024
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis IJCAI 2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NIPS 2024
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NIPS 2024
Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024
Adam with model exponential moving average is effective for nonconvex optimization NIPS 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024