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Probabilistic Modeling

2,599 papers

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Papers

Lifted Inference Rules With Constraints NIPS 2015
Inference for determinantal point processes without spectral knowledge NIPS 2015
Latent Bayesian melding for integrating individual and population models NIPS 2015
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NIPS 2015
Probabilistic Variational Bounds for Graphical Models NIPS 2015
The Human Kernel NIPS 2015
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NIPS 2015
Robust Spectral Inference for Joint Stochastic Matrix Factorization NIPS 2015
The Population Posterior and Bayesian Modeling on Streams NIPS 2015
Fast Lifted MAP Inference via Partitioning NIPS 2015
MCMC for Variationally Sparse Gaussian Processes NIPS 2015
A Gaussian Process Model of Quasar Spectral Energy Distributions NIPS 2015
Learning structured densities via infinite dimensional exponential families NIPS 2015
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling NIPS 2015
Segregated Graphs and Marginals of Chain Graph Models NIPS 2015
Expectation Particle Belief Propagation NIPS 2015
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NIPS 2015
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Tractable Learning for Complex Probability Queries NIPS 2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Bounding the Cost of Search-Based Lifted Inference NIPS 2015
Softstar: Heuristic-Guided Probabilistic Inference NIPS 2015
Learning to Linearize Under Uncertainty NIPS 2015