Mathematics

Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NeurIPS 2019 K-Core Maximization: An Edge Addition Approach IJCAI 2019 Kernel Instrumental Variable Regression NeurIPS 2019 Kernel Normalized Cut: a Theoretical Revisit ICML 2019 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019 Large-Margin Classification in Hyperbolic Space AISTATS 2019 Large Scale Evolving Graphs with Burst Detection IJCAI 2019 Large-scale optimal transport map estimation using projection pursuit NeurIPS 2019 Latent distance estimation for random geometric graphs NeurIPS 2019 Laughter Dynamics in Dyadic Conversations Interspeech 2019 Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models JMLR 2019 Learning-Based Low-Rank Approximations NeurIPS 2019 Learning Diffusions without Timestamps AAAI 2019 Learning Erdos-Renyi Random Graphs via Edge Detecting Queries NeurIPS 2019 Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations ICML 2019 Learning Hawkes Processes Under Synchronization Noise ICML 2019 Learning low-dimensional state embeddings and metastable clusters from time series data NeurIPS 2019 Learning metrics for persistence-based summaries and applications for graph classification NeurIPS 2019 Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NeurIPS 2019 Learning Neural Bag-of-Matrix-Summarization with Riemannian Network AAAI 2019 Learning Optimal Classification Trees Using a Binary Linear Program Formulation AAAI 2019 Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization AAAI 2019 Learning rates for Gaussian mixtures under group action COLT 2019 Learning Set Functions with Limited Complementarity AAAI 2019