Probabilistic Modeling

Contrastive Learning Using Spectral Methods NeurIPS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Designed Measurements for Vector Count Data NeurIPS 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013 Documents as multiple overlapping windows into grids of counts NeurIPS 2013 Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013 Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013 Dynamic Probabilistic Volumetric Models ICCV 2013 Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013 Efficiently Sampling Probabilistic Programs via Program Analysis AISTATS 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Embed and Project: Discrete Sampling with Universal Hashing NeurIPS 2013 Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013 Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013 Fast Determinantal Point Process Sampling with Application to Clustering NeurIPS 2013 Fingerspelling Recognition with Semi-Markov Conditional Random Fields ICCV 2013 First-order Decomposition Trees NeurIPS 2013 Flexible sampling of discrete data correlations without the marginal distributions NeurIPS 2013 Fully-Connected CRFs with Non-Parametric Pairwise Potential CVPR 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 2013 Gaussian Process Vine Copulas for Multivariate Dependence ICML 2013 Generalized Method-of-Moments for Rank Aggregation NeurIPS 2013 Geometric optimisation on positive definite matrices for elliptically contoured distributions NeurIPS 2013 Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation NeurIPS 2013