Mathematics

Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method IJCAI 2019 Learning Unfaithful K-separable Gaussian Graphical Models JMLR 2019 Lexical concreteness in narrative ACL 2019 Linear-Complexity Data-Parallel Earth Mover’s Distance Approximations ICML 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Locally Private Gaussian Estimation NeurIPS 2019 Locally Private Mean Estimation: Z-test and Tight Confidence Intervals AISTATS 2019 Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis JMLR 2019 Lorentzian Distance Learning for Hyperbolic Representations ICML 2019 Lovasz Convolutional Networks AISTATS 2019 Low-Distortion Social Welfare Functions AAAI 2019 Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models COLT 2019 Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation AISTATS 2019 Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019 Making Fast Graph-based Algorithms with Graph Metric Embeddings ACL 2019 Mallows ranking models: maximum likelihood estimate and regeneration ICML 2019 MAP Inference via Block-Coordinate Frank-Wolfe Algorithm CVPR 2019 Markov Properties of Discrete Determinantal Point Processes AISTATS 2019 Maximum Entropy Distributions: Bit Complexity and Stability COLT 2019 Maximum Likelihood Estimation for Learning Populations of Parameters ICML 2019 Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit COLT 2019 Merge-and-Shrink Task Reformulation for Classical Planning IJCAI 2019 MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019 Micro-Baseline Structured Light ICCV 2019 Minimal Achievable Sufficient Statistic Learning ICML 2019