Mathematics

Fisher information dissipation for time-inhomogeneous stochastic differential equations JMLR 2024 Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024 Fitting Flats to Flats CVPR 2024 From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data JMLR 2024 FUGAL: Feature-fortified Unrestricted Graph Alignment NeurIPS 2024 Functional Directed Acyclic Graphs JMLR 2024 Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024 Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints ICML 2024 Fun with Flags: Robust Principal Directions via Flag Manifolds CVPR 2024 Gaussian Processes on Cellular Complexes ICML 2024 General Epistemic Abstract Argumentation Framework: Semantics and Complexity IJCAI 2024 Generalization Bounds via Conditional f-Information NeurIPS 2024 Generalized Expected Utility as a Universal Decision Rule – A Step Forward UAI 2024 Generalized Sobolev Transport for Probability Measures on a Graph ICML 2024 Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NeurIPS 2024 Geometric Learning with Positively Decomposable Kernels JMLR 2024 Geometric No-U-Turn Samplers: Concepts and Evaluation PGM 2024 Geometry-Aware Instrumental Variable Regression ICML 2024 Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications ICML 2024 Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024 Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers NeurIPS 2024 GmGM: a fast multi-axis Gaussian graphical model AISTATS 2024 Goidelex: A Lexical Resource for Old Irish COLING 2024 Gradients of Functions of Large Matrices NeurIPS 2024 Graph Clustering Methods Derived from Column Subset Selection (Student Abstract) AAAI 2024