stationary point

Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization JMLR 2026 Almost Sure Convergence of Dropout Algorithms for Neural Networks JMLR 2025 Cauchy-Schwarz Regularizers ICLR 2025 Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness ICLR 2025 Cubic regularized subspace Newton for non-convex optimization AISTATS 2025 Differentiable Quadratic Optimization For the Maximum Independent Set Problem ICML 2025 DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity ICLR 2025 Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality ICLR 2025 From Gradient Clipping to Normalization for Heavy Tailed SGD AISTATS 2025 Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions ICML 2025 Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization ICML 2025 Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum ACML 2025 Learning In-context n-grams with Transformers: Sub-n-grams Are Near-Stationary Points ICML 2025 Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding ICLR 2025 Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime ICML 2025 Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization COLT 2025 The Adaptive Complexity of Finding a Stationary Point COLT 2025 Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization JMLR 2025 A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization AISTATS 2024 An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024 A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness ICML 2024 An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization ICML 2024 Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms ICML 2024 Double Momentum Method for Lower-Level Constrained Bilevel Optimization ICML 2024 Dropout Enhanced Bilevel Training ICLR 2024