Continuous Optimization

A Bregman Divergence View on the Difference-of-Convex Algorithm AISTATS 2023 Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond COLT 2023 Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization ICML 2023 Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023 Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems ICML 2023 Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems JMLR 2023 Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization NeurIPS 2023 Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties COLT 2023 Accelerated Stochastic Optimization Methods under Quasar-convexity ICML 2023 Accelerating Motion Planning via Optimal Transport NeurIPS 2023 Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes AISTATS 2023 Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement NeurIPS 2023 Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization NeurIPS 2023 Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints ICML 2023 A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem AISTATS 2023 A Continuous-time Stochastic Gradient Descent Method for Continuous Data JMLR 2023 Adaptive Annealing for Robust Geometric Estimation CVPR 2023 Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract) AAAI 2023 Adaptive Estimation of Graphical Models under Total Positivity ICML 2023 Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023 A Dynamical Systems Perspective on Discrete Optimization L4DC 2023 A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023 A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023 A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization AAAI 2023 A Learnable Radial Basis Positional Embedding for Coordinate-MLPs AAAI 2023