Non-Convex Optimization

Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization COLT 2026 Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent UAI 2026 Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex Optimization JMLR 2026 Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity COLT 2026 Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent JMLR 2026 High Probability Convergence Guarantees of Stochastic Gradient Descent Ascent in Structured Nonconvex Min-Max Games COLT 2026 Open Problem: How much overparametrization is needed for ALS in tensor decomposition? COLT 2026 Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential ALT 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 ADMM for Nonconvex Optimization under Minimal Continuity Assumption ICLR 2025 ADMM for Structured Fractional Minimization ICLR 2025 A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions AISTATS 2025 Analytical Integral Global Optimization L4DC 2025 Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness ICLR 2025 Computing Quasi-Nash Equilibria via Gradient-Response Schemes L4DC 2025 Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics EMNLP 2025 Cubic regularized subspace Newton for non-convex optimization AISTATS 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients AISTATS 2025 DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization L4DC 2025 Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization AISTATS 2025 Fast Non-convex Matrix Sensing with Optimal Sample Complexity UAI 2025 Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization ICLR 2025 Improving Stochastic Cubic Newton with Momentum AISTATS 2025 Nesterov acceleration in benignly non-convex landscapes ICLR 2025