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Probabilistic Modeling

2,599 papers

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Papers

Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NIPS 2013
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NIPS 2013
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NIPS 2013
Embed and Project: Discrete Sampling with Universal Hashing NIPS 2013
Universal models for binary spike patterns using centered Dirichlet processes NIPS 2013
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NIPS 2013
Σ-Optimality for Active Learning on Gaussian Random Fields NIPS 2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference NIPS 2013
Learning Stochastic Inverses NIPS 2013
Variational Planning for Graph-based MDPs NIPS 2013
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NIPS 2013
Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NIPS 2013
Marginals-to-Models Reducibility NIPS 2013
Flexible sampling of discrete data correlations without the marginal distributions NIPS 2013
Context-sensitive active sensing in humans NIPS 2013
Learning Chordal Markov Networks by Constraint Satisfaction NIPS 2013
Summary Statistics for Partitionings and Feature Allocations NIPS 2013
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NIPS 2013
Message Passing Inference with Chemical Reaction Networks NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
First-order Decomposition Trees NIPS 2013
Noise-Enhanced Associative Memories NIPS 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013