Probability

Characteristic and Universal Tensor Product Kernels JMLR 2018 Compact Representation of Uncertainty in Clustering NeurIPS 2018 Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm ICML 2018 Detection limits in the high-dimensional spiked rectangular model COLT 2018 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NeurIPS 2018 Dimension-free Information Concentration via Exp-Concavity ALT 2018 Entropy Rate Estimation for Markov Chains with Large State Space NeurIPS 2018 Estimating Latent People Flow without Tracking Individuals IJCAI 2018 Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements IJCAI 2018 Exponentiated Strongly Rayleigh Distributions NeurIPS 2018 Gaussian Mixture Latent Vector Grammars ACL 2018 Generative Modeling Using the Sliced Wasserstein Distance CVPR 2018 Implicational Universals in Stochastic Constraint-Based Phonology EMNLP 2018 Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising ICML 2018 Incremental Computation of Infix Probabilities for Probabilistic Finite Automata EMNLP 2018 Inference via Low-Dimensional Couplings JMLR 2018 Integration complexity and the order of cosisters EMNLP 2018 Kernel Density Estimation for Dynamical Systems JMLR 2018 Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018 Langevin Monte Carlo and JKO splitting COLT 2018 Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018 Learning a Mixture of Two Multinomial Logits ICML 2018 Learning Registered Point Processes from Idiosyncratic Observations ICML 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