Mathematics & Optimization

Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023 Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels NeurIPS 2023 Convergence and Diversity in the Control Hierarchy ACL 2023 Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023 Convergence of Alternating Gradient Descent for Matrix Factorization NeurIPS 2023 Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023 Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning JMLR 2023 Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems NeurIPS 2023 Convex and Non-convex Optimization Under Generalized Smoothness NeurIPS 2023 Convex Bounds on the Softmax Function with Applications to Robustness Verification AISTATS 2023 Convex Geometric Motion Planning on Lie Groups via Moment Relaxation RSS 2023 Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction ICML 2023 Convolutional Persistence as a Remedy to Neural Model Analysis AISTATS 2023 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets CVPR 2023 Cooperative Inverse Decision Theory for Uncertain Preferences AISTATS 2023 Coordinate Descent for SLOPE AISTATS 2023 Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence AAAI 2023 Coordinate Descent Methods for Fractional Minimization ICML 2023 Coordinating Distributed Example Orders for Provably Accelerated Training NeurIPS 2023 Core-sets for Fair and Diverse Data Summarization NeurIPS 2023 CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics NeurIPS 2023 Correlation Aware Sparsified Mean Estimation Using Random Projection NeurIPS 2023 COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport CVPR 2023 Counterfactual Dynamics Forecasting – a New Setting of Quantitative Reasoning AAAI 2023