Convex Optimization

Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023 Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler COLT 2023 An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023 A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NeurIPS 2023 Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix COLT 2023 Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks JMLR 2023 Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching ICML 2023 Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization ICLR 2023 Continuous-time Analysis of Anchor Acceleration NeurIPS 2023 Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems NeurIPS 2023 Convex and Non-convex Optimization Under Generalized Smoothness NeurIPS 2023 Curvature and complexity: Better lower bounds for geodesically convex optimization COLT 2023 Essential Matrix Estimation using Convex Relaxations in Orthogonal Space ICCV 2023 Exact Inference in High-order Structured Prediction ICML 2023 Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates AAAI 2023 Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective ICML 2023 Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle AISTATS 2023 Federated Online and Bandit Convex Optimization ICML 2023 Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023 Gradient Descent Converges Linearly for Logistic Regression on Separable Data ICML 2023 Improved dimension dependence of a proximal algorithm for sampling COLT 2023 Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023 Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification JMLR 2023 Learning Sparse Group Models Through Boolean Relaxation ICLR 2023 Learning the Efficient Frontier NeurIPS 2023