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non-convex optimization

546 papers

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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

Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm ICML 2021
Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization IJCAI 2021
Evolutionary Gradient Descent for Non-convex Optimization IJCAI 2021
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning COLT 2021
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NIPS 2021
SMG: A Shuffling Gradient-Based Method with Momentum ICML 2021
QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm Minimization INTERSPEECH 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks NIPS 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization ICML 2021
A Faster Decentralized Algorithm for Nonconvex Minimax Problems NIPS 2021
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias NIPS 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding ICML 2021
Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization JMLR 2021
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails NIPS 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NIPS 2021
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives NIPS 2021
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021
Escape saddle points by a simple gradient-descent based algorithm NIPS 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond NIPS 2021
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent NIPS 2021
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings NIPS 2021
Multiplicative Noise and Heavy Tails in Stochastic Optimization ICML 2021
On the Convergence of Step Decay Step-Size for Stochastic Optimization NIPS 2021
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance ICML 2021
An Efficient Algorithm for Deep Stochastic Contextual Bandits AAAI 2021