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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Inferring "Dark Matter" and "Dark Energy" from Videos ICCV 2013
Classifying With Confidence From Incomplete Information JMLR 2013
Social Role Discovery in Human Events CVPR 2013
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013
Fast MCMC Sampling for Markov Jump Processes and Extensions JMLR 2013
Embed and Project: Discrete Sampling with Universal Hashing NIPS 2013
Universal models for binary spike patterns using centered Dirichlet processes 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
Marginals-to-Models Reducibility NIPS 2013
Modeling Temporal Evolution and Multiscale Structure in Networks ICML 2013
Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013
A Framework for Evaluating Approximation Methods for Gaussian Process Regression JMLR 2013
Finding Optimal Bayesian Networks Using Precedence Constraints JMLR 2013
Gaussian Kullback-Leibler Approximate Inference JMLR 2013
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013
Infinite Latent Conditional Random Fields for Modeling Environments through Humans RSS 2013
Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 2013
Mixture of Mutually Exciting Processes for Viral Diffusion ICML 2013
LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013
Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013
Noise-Enhanced Associative Memories NIPS 2013
Message Passing Inference with Chemical Reaction Networks NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013