Mathematics

Information Processing Equalities and the Information–Risk Bridge JMLR 2024 Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024 Information-theoretic Generalization Analysis for Expected Calibration Error NeurIPS 2024 Information-theoretic hypothesis generation of relative cue weighting for the voicing contrast Interspeech 2024 Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs COLT 2024 Introducing PaVeDa – Pavia Verbs Database: Valency Patterns and Pattern Comparison in Ancient Indo-European Languages COLING 2024 Invariant subspaces and PCA in nearly matrix multiplication time NeurIPS 2024 Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions NeurIPS 2024 Is Score Matching Suitable for Estimating Point Processes? NeurIPS 2024 Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems UAI 2024 Iterative Methods via Locally Evolving Set Process NeurIPS 2024 John Ellipsoids via Lazy Updates NeurIPS 2024 Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024 KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem AAAI 2024 Kernel Semi-Implicit Variational Inference ICML 2024 Kernel Thinning JMLR 2024 Knowledge Compilation for Incremental and Checkable Stochastic Boolean Satisfiability IJCAI 2024 Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate AISTATS 2024 Language Modeling Is Compression ICLR 2024 Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024 Learning-Based Algorithms for Graph Searching Problems AISTATS 2024 Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024 Learning Discretized Neural Networks under Ricci Flow JMLR 2024 Learning Elastic Costs to Shape Monge Displacements NeurIPS 2024 Learning from Snapshots of Discrete and Continuous Data Streams NeurIPS 2024