Probability

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016 Sliced Wasserstein Kernels for Probability Distributions CVPR 2016 Slice Sampling on Hamiltonian Trajectories ICML 2016 Statistical Inference for Pairwise Graphical Models Using Score Matching NeurIPS 2016 Structure-Blind Signal Recovery NeurIPS 2016 Structure Discovery in Bayesian Networks by Sampling Partial Orders JMLR 2016 Synergy of Monotonic Rules JMLR 2016 Tractable Operations for Arithmetic Circuits of Probabilistic Models NeurIPS 2016 AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models JMLR 2015 A hybrid sampler for Poisson-Kingman mixture models NeurIPS 2015 An Adaptive Data Representation for Robust Point-Set Registration and Merging ICCV 2015 Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks NeurIPS 2015 Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs NeurIPS 2015 Differentially Private Learning of Structured Discrete Distributions NeurIPS 2015 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification COLT 2015 Entropy-Based Concentration Inequalities for Dependent Variables ICML 2015 Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions COLT 2015 Exact Bias Correction and Covariance Estimation for Stereo Vision CVPR 2015 Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM AISTATS 2015 Fast and Accurate Inference of Plackett–Luce Models NeurIPS 2015 Fast Bidirectional Probability Estimation in Markov Models NeurIPS 2015 Fast Two-Sample Testing with Analytic Representations of Probability Measures NeurIPS 2015 Finite-Time Analysis of Projected Langevin Monte Carlo NeurIPS 2015 From random walks to distances on unweighted graphs NeurIPS 2015 Gaussian Process Random Fields NeurIPS 2015