Probability

Computing Parametric Ranking Models via Rank-Breaking ICML 2014 Concavity of reweighted Kikuchi approximation NeurIPS 2014 Concentration in unbounded metric spaces and algorithmic stability ICML 2014 Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective RSS 2014 Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014 Covariance shrinkage for autocorrelated data NeurIPS 2014 Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014 Discovering Latent Network Structure in Point Process Data ICML 2014 Elicitation and Identification of Properties COLT 2014 Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014 Exponential Concentration of a Density Functional Estimator NeurIPS 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014 Fast Computation of Wasserstein Barycenters ICML 2014 Gaussian Approximation of Collective Graphical Models ICML 2014 Generalized Exponential Concentration Inequality for Renyi Divergence Estimation ICML 2014 Hardness of parameter estimation in graphical models NeurIPS 2014 Hitting and Commute Times in Large Random Neighborhood Graphs JMLR 2014 Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014 Learning Mixtures of Ranking Models NeurIPS 2014 Learning Modular Structures from Network Data and Node Variables ICML 2014 Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014 Memory (and Time) Efficient Sequential Monte Carlo ICML 2014 Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014 On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014 On the Information Theoretic Limits of Learning Ising Models NeurIPS 2014