Mathematics

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023 Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023 Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023 In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks? IJCAI 2023 Is Planted Coloring Easier than Planted Clique? COLT 2023 Is the volume of a credal set a good measure for epistemic uncertainty? UAI 2023 Kernel-Based Tests for Likelihood-Free Hypothesis Testing NeurIPS 2023 Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023 Kernelized Cumulants: Beyond Kernel Mean Embeddings NeurIPS 2023 Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition JMLR 2023 Kernel Quadrature with Randomly Pivoted Cholesky NeurIPS 2023 Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023 Kissing to Find a Match: Efficient Low-Rank Permutation Representation NeurIPS 2023 K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NeurIPS 2023 K∗ Search over Orbit Space for Top-k Planning IJCAI 2023 Label Information Bottleneck for Label Enhancement CVPR 2023 Langevin Quasi-Monte Carlo NeurIPS 2023 Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding NeurIPS 2023 Large data limit of the MBO scheme for data clustering: convergence of the dynamics JMLR 2023 Large sample spectral analysis of graph-based multi-manifold clustering JMLR 2023 LDL: Line Distance Functions for Panoramic Localization ICCV 2023 Learning a 3D Morphable Face Reflectance Model From Low-Cost Data CVPR 2023 Learning a Deep Color Difference Metric for Photographic Images CVPR 2023 Learning Curves for Deep Structured Gaussian Feature Models NeurIPS 2023 Learning Cuts via Enumeration Oracles NeurIPS 2023