Probability

Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019 High Flux Passive Imaging With Single-Photon Sensors CVPR 2019 Interpolating between Optimal Transport and MMD using Sinkhorn Divergences AISTATS 2019 Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NeurIPS 2019 Learning Diffusions without Timestamps AAAI 2019 Learning Hawkes Processes Under Synchronization Noise ICML 2019 Linear-Complexity Data-Parallel Earth Mover’s Distance Approximations ICML 2019 Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit COLT 2019 Minimax Learning of Ergodic Markov Chains ALT 2019 Modeling Markedness with a Split-and-Merger Model of Sound Change ACL 2019 Modelling Stopping Criteria for Search Results using Poisson Processes EMNLP 2019 Multi-marginal Wasserstein GAN NeurIPS 2019 Multiplicative local linear hazard estimation and best one-sided cross-validation JMLR 2019 Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams JMLR 2019 On Kernel Derivative Approximation with Random Fourier Features AISTATS 2019 Online Infix Probability Computation for Probabilistic Finite Automata ACL 2019 Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms NeurIPS 2019 On the Complexity of Approximating Wasserstein Barycenters ICML 2019 On two ways to use determinantal point processes for Monte Carlo integration NeurIPS 2019 Planting trees in graphs, and finding them back COLT 2019 Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics AAAI 2019 Practical and Consistent Estimation of f-Divergences NeurIPS 2019 Probabilistic Multilevel Clustering via Composite Transportation Distance AISTATS 2019 Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection NeurIPS 2019 Random Matrix Improved Covariance Estimation for a Large Class of Metrics ICML 2019