non-convex optimization

Nonconvex scenario optimization for data-driven reachability L4DC 2024 Non-geodesically-convex optimization in the Wasserstein space NeurIPS 2024 On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions NeurIPS 2024 On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis COLT 2024 On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation ICLR 2024 On the Unstable Convergence Regime of Gradient Descent AAAI 2024 Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization COLT 2024 Optimization Framework for Semi-supervised Attributed Graph Coarsening UAI 2024 Ordered Momentum for Asynchronous SGD NeurIPS 2024 Private Zeroth-Order Nonsmooth Nonconvex Optimization ICLR 2024 Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NeurIPS 2024 Provably Convergent Federated Trilevel Learning AAAI 2024 Pursuit of the Cluster Structure of Network Lasso: Recovery Condition and Non-convex Extension JMLR 2024 Quantum Algorithms for Non-smooth Non-convex Optimization NeurIPS 2024 Revisiting Convergence of AdaGrad with Relaxed Assumptions UAI 2024 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NeurIPS 2024 Sample-and-Bound for Non-convex Optimization AAAI 2024 Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NeurIPS 2024 Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024 Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NeurIPS 2024 SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024 Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity ICLR 2024 Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NeurIPS 2024 SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity ICML 2024 Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024