Mathematics & Optimization

Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion CVPR 2019 Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NeurIPS 2019 Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number ICML 2019 K-Core Maximization: An Edge Addition Approach IJCAI 2019 KerGM: Kernelized Graph Matching NeurIPS 2019 Kernel Instrumental Variable Regression NeurIPS 2019 Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators ACML 2019 Kernel Normalized Cut: a Theoretical Revisit ICML 2019 Kernel quadrature with DPPs NeurIPS 2019 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NeurIPS 2019 k-Means Clustering of Lines for Big Data NeurIPS 2019 KNG: The K-Norm Gradient Mechanism NeurIPS 2019 Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019 Knowledge Refinement via Rule Selection AAAI 2019 Large-Margin Classification in Hyperbolic Space AISTATS 2019 Large Scale Evolving Graphs with Burst Detection IJCAI 2019 Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games AAAI 2019 Large-Scale, Metric Structure From Motion for Unordered Light Fields CVPR 2019 Large-scale optimal transport map estimation using projection pursuit NeurIPS 2019 Large-Scale Sparse Kernel Canonical Correlation Analysis ICML 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 Lazifying Conditional Gradient Algorithms JMLR 2019