Bayesian & Probabilistic

Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015 Infinite Factorial Dynamical Model NeurIPS 2015 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 Landmarking Manifolds with Gaussian Processes ICML 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 Large-scale Distributed Dependent Nonparametric Trees 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 feature regression for multivariate count data AISTATS 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 Bayesian Networks with Thousands of Variables NeurIPS 2015 Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015 Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring NeurIPS 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 Learning Wake-Sleep Recurrent Attention Models 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 Local Expectation Gradients for Black Box Variational Inference NeurIPS 2015 Manifold-valued Dirichlet Processes ICML 2015 Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents NeurIPS 2015