Probabilistic Modeling

Graphical Models via Univariate Exponential Family Distributions JMLR 2015 Harmonic Exponential Families on Manifolds ICML 2015 HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades ICML 2015 Human Memory Search as Initial-Visit Emitting Random Walk NeurIPS 2015 IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation RSS 2015 Inference for determinantal point processes without spectral knowledge NeurIPS 2015 Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015 Landmarking Manifolds with Gaussian Processes ICML 2015 Large-scale probabilistic predictors with and without guarantees of validity NeurIPS 2015 Latent Bayesian melding for integrating individual and population models NeurIPS 2015 Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models ICML 2015 Latent Trees for Estimating Intensity of Facial Action Units CVPR 2015 Learning spatiotemporal trajectories from manifold-valued longitudinal data NeurIPS 2015 Learning structured densities via infinite dimensional exponential families NeurIPS 2015 Learning Structured Output Representation using Deep Conditional Generative Models NeurIPS 2015 Learning to Linearize Under Uncertainty NeurIPS 2015 Lifted Inference Rules With Constraints NeurIPS 2015 Lifted Symmetry Detection and Breaking for MAP Inference NeurIPS 2015 Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NeurIPS 2015 Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents NeurIPS 2015 Markov Mixed Membership Models ICML 2015 MCMC for Variationally Sparse Gaussian Processes NeurIPS 2015 MCMC Learning COLT 2015 Message Passing for Collective Graphical Models ICML 2015 Metadata Dependent Mondrian Processes ICML 2015