Mathematics

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction IJCAI 2020 Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions JMLR 2020 Morphism-Based Learning for Structured Data AAAI 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020 Multi-level Gaussian Graphical Models Conditional on Covariates AISTATS 2020 Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text CVPR 2020 Multiparameter Persistence Image for Topological Machine Learning NeurIPS 2020 Multiparameter Persistence Landscapes JMLR 2020 Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition AAAI 2020 Multipole Graph Neural Operator for Parametric Partial Differential Equations NeurIPS 2020 Multivariate Probability Calibration with Isotonic Bernstein Polynomials IJCAI 2020 Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling ICML 2020 Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020 Nesterov's Acceleration for Approximate Newton JMLR 2020 Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020 Neural Manifold Ordinary Differential Equations NeurIPS 2020 Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs NeurIPS 2020 Node Embeddings and Exact Low-Rank Representations of Complex Networks NeurIPS 2020 Non-asymptotic Analysis for Nonparametric Testing COLT 2020 Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors NeurIPS 2020 Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model NeurIPS 2020 Non-Euclidean Universal Approximation NeurIPS 2020 Non-Intrusive Diagnostic Monitoring of Fullband Speech Quality Interspeech 2020 Nonparametric Estimation in the Dynamic Bradley-Terry Model AISTATS 2020 Nonparametric Fisher Geometry with Application to Density Estimation UAI 2020