non-convex optimization

Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss NeurIPS 2024 Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates JMLR 2024 Structure Learning with Continuous Optimization: A Sober Look and Beyond CLeaR 2024 Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024 Towards Exact Gradient-based Training on Analog In-memory Computing NeurIPS 2024 Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024 Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NeurIPS 2024 A Bregman Divergence View on the Difference-of-Convex Algorithm AISTATS 2023 Accelerated Stochastic Optimization Methods under Quasar-convexity ICML 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023 A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023 Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023 An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization UAI 2023 Approximate Inference in Logical Credal Networks IJCAI 2023 Asynchronous Distributed Bilevel Optimization ICLR 2023 A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023 Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD ICLR 2023 Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization ICML 2023 Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023 Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD COLT 2023 Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise COLT 2023 Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023