Continuous Optimization

Adaptive Softassign via Hadamard-Equipped Sinkhorn CVPR 2024 A De-singularity Subgradient Approach for the Extended Weber Location Problem IJCAI 2024 Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024 A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization ICML 2024 Advection Augmented Convolutional Neural Networks NeurIPS 2024 A fast algorithm to simulate nonlinear resistive networks ICML 2024 A faster and simpler algorithm for learning shallow networks COLT 2024 A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization ICML 2024 A Framework for Bilevel Optimization on Riemannian Manifolds NeurIPS 2024 A General Algorithm for Solving Rank-one Matrix Sensing AISTATS 2024 A Generalized Neural Diffusion Framework on Graphs AAAI 2024 A General Online Algorithm for Optimizing Complex Performance Metrics ICML 2024 A Generic and Flexible Regularization Framework for NeRFs WACV 2024 A Global Geometric Analysis of Maximal Coding Rate Reduction ICML 2024 Agnostic Sample Compression Schemes for Regression ICML 2024 Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem NeurIPS 2024 Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics COLING 2024 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024 Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization ALT 2024 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NeurIPS 2024 An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024 Analyzing D^α seeding for k-means ICML 2024 A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness ICML 2024 An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization AAAI 2024