Mathematics

Learning Diffusion using Hyperparameters ICML 2018 Learning filter widths of spectral decompositions with wavelets NeurIPS 2018 Learning from Comparisons and Choices JMLR 2018 Learning in Reproducing Kernel Kreı̆n Spaces ICML 2018 Learning Registered Point Processes from Idiosyncratic Observations ICML 2018 Learning Steady-States of Iterative Algorithms over Graphs ICML 2018 Legendre Decomposition for Tensors NeurIPS 2018 Leveraged volume sampling for linear regression NeurIPS 2018 Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms ICML 2018 Lexical Networks in !Xung EMNLP 2018 Linear Satisfiability Preserving Assignments (Extended Abstract) IJCAI 2018 Linear Spectral Estimators and an Application to Phase Retrieval ICML 2018 Linguistic Resources for Phrasal Verb Identification COLING 2018 Local and Global Optimization Techniques in Graph-Based Clustering CVPR 2018 Local Density Estimation in High Dimensions ICML 2018 Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance COLT 2018 Local Private Hypothesis Testing: Chi-Square Tests ICML 2018 Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018 Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch NeurIPS 2018 Mallows Models for Top-k Lists NeurIPS 2018 Manifold Learning in Quotient Spaces CVPR 2018 Matrix completability analysis via graph k-connectivity AISTATS 2018 Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard JMLR 2018 Maximum Selection and Sorting with Adversarial Comparators JMLR 2018 Measures of distortion for machine learning NeurIPS 2018