convex optimization

On the Convergence of Tâtonnement for Linear Fisher Markets AAAI 2025 On the Inherent Privacy of Zeroth-Order Projected Gradient Descent AISTATS 2025 OPTAMI: Global Superlinear Convergence of High-order Methods ICLR 2025 Optimization Over a Probability Simplex JMLR 2025 Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025 Rank-one Convexification for Sparse Regression JMLR 2025 SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method IJCAI 2025 Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows ICLR 2025 Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning AAAI 2025 Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks ICLR 2025 Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications JMLR 2025 Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning RSS 2025 Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation ICML 2025 Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity ICLR 2025 Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025 Unconstrained Robust Online Convex Optimization ICML 2025 When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation ICCV 2025 A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem NeurIPS 2024 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 Adaptive Proximal Gradient Method for Convex Optimization NeurIPS 2024 Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024 Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem NeurIPS 2024 An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NeurIPS 2024 A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise NeurIPS 2024 An effective framework for estimating individualized treatment rules NeurIPS 2024