Probability

Mallows Models for Top-k Lists NeurIPS 2018 Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard JMLR 2018 Maximum Selection and Sorting with Adversarial Comparators JMLR 2018 Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems IJCAI 2018 Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios JMLR 2018 Multi-Task Learning by Maximizing Statistical Dependence CVPR 2018 On how complexity affects the stability of a predictor AISTATS 2018 On Learning Markov Chains NeurIPS 2018 Online Learning: Sufficient Statistics and the Burkholder Method COLT 2018 On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness JMLR 2018 On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NeurIPS 2018 On the Spectrum of Random Features Maps of High Dimensional Data ICML 2018 Optimal Single Sample Tests for Structured versus Unstructured Network Data COLT 2018 Patchwork Kriging for Large-scale Gaussian Process Regression JMLR 2018 Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences NeurIPS 2018 Probability–Revealing Samples AISTATS 2018 Ranking Distributions based on Noisy Sorting ICML 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NeurIPS 2018 Sliced Wasserstein Distance for Learning Gaussian Mixture Models CVPR 2018 Sparse Exchangeable Graphs and Their Limits via Graphon Processes JMLR 2018 Statistically Efficient Estimation for Non-Smooth Probability Densities AISTATS 2018 Stein Points ICML 2018 Stochastic Wasserstein Barycenters ICML 2018 Subpolynomial trace reconstruction for random strings \{and arbitrary deletion probability COLT 2018 Testing for Families of Distributions via the Fourier Transform NeurIPS 2018