Mathematics & Optimization

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem NeurIPS 2024 Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024 Functions with average smoothness: structure, algorithms, and learning JMLR 2024 Fundamental Benefit of Alternating Updates in Minimax Optimization ICML 2024 Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints ICML 2024 Fundamental Limits of Non-Linear Low-Rank Matrix Estimation COLT 2024 Fun with Flags: Robust Principal Directions via Flag Manifolds CVPR 2024 Fusing Conditional Submodular GAN and Programmatic Weak Supervision AAAI 2024 Gambling-Based Confidence Sequences for Bounded Random Vectors ICML 2024 Game-Theoretic Unlearnable Example Generator AAAI 2024 Gap-Free Clustering: Sensitivity and Robustness of SDP COLT 2024 Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling COLT 2024 GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting NeurIPS 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Gaussian Processes on Cellular Complexes ICML 2024 General Epistemic Abstract Argumentation Framework: Semantics and Complexity IJCAI 2024 Generalization Analysis of Deep Non-linear Matrix Completion ICML 2024 Generalization Analysis of Stochastic Weight Averaging with General Sampling ICML 2024 Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming NeurIPS 2024 Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation ICML 2024 Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024 Generalization Bounds via Conditional f-Information NeurIPS 2024 Generalized Eigenvalue Problems with Generative Priors NeurIPS 2024 Generalized Expected Utility as a Universal Decision Rule – A Step Forward UAI 2024 Generalized Fast Exact Conformalization NeurIPS 2024