non-convex optimization

Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization COLT 2026 A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds AAAI 2026 Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent UAI 2026 Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization JMLR 2026 Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex Optimization JMLR 2026 CoRiM: Conflict-driven Risk Minimization for Dynamic Multimodal Fusion CVPR 2026 Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity COLT 2026 Gradient Span Algorithms Make Predictable Progress in High Dimension JMLR 2026 High Probability Convergence Guarantees of Stochastic Gradient Descent Ascent in Structured Nonconvex Min-Max Games COLT 2026 Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential ALT 2026 Regret Minimization with Adaptive Opponents in Repeated Games COLT 2026 Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (Abstract Reprint) AAAI 2026 The Convergence Behavior of Adam under Heavy-Tailed Noise UAI 2026 Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization COLT 2026 $β$-th order Acyclicity Derivatives for DAG Learning AISTATS 2025 Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization ICLR 2025 ADMM for Nonconvex Optimization under Minimal Continuity Assumption ICLR 2025 ADMM for Structured Fractional Minimization ICLR 2025 Analytical Integral Global Optimization L4DC 2025 A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization JMLR 2025 A Trust-Region Method for Graphical Stein Variational Inference UAI 2025 Both Asymptotic and Non-Asymptotic Convergence of Quasi-Hyperbolic Momentum using Increasing Batch Size ACML 2025 Computing Quasi-Nash Equilibria via Gradient-Response Schemes L4DC 2025 Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025 Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness ICLR 2025