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Mathematics

6,356 papers (9 classified directly here)

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Papers (including subtopics)

Multiple-Splitting Projection Test for High-Dimensional Mean Vectors JMLR 2022 Multistate analysis with infinite mixtures of Markov chains UAI 2022 Multi-View Intent Disentangle Graph Networks for Bundle Recommendation AAAI 2022 Multiway Spherical Clustering via Degree-Corrected Tensor Block Models AISTATS 2022 Multi-winner approval voting goes epistemic UAI 2022 Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NeurIPS 2022 Nearly-Tight Bounds for Testing Histogram Distributions NeurIPS 2022 Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport AISTATS 2022 Near optimal efficient decoding from pooled data COLT 2022 Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design CVPR 2022 Network Creation with Homophilic Agents IJCAI 2022 Network Regression with Graph Laplacians JMLR 2022 Neural Approximation of Graph Topological Features NeurIPS 2022 Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NeurIPS 2022 Neural graphical modelling in continuous-time: consistency guarantees and algorithms ICLR 2022 Neural Laplace: Learning diverse classes of differential equations in the Laplace domain ICML 2022 Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs NeurIPS 2022 Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization ICML 2022 Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm ACML 2022 Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares COLT 2022 Non-Euclidean Self-Organizing Maps IJCAI 2022 Non-Gaussian Component Analysis via Lattice Basis Reduction COLT 2022 Non-Gaussian Tensor Programs NeurIPS 2022 Non-parametric inference of relational dependence UAI 2022 Nonparametric Neighborhood Selection in Graphical Models JMLR 2022