conftrace_
← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Probabilistic Modeling

2,252 papers

Papers per year

5
84
58
212
96
'05
'10
'15
'20
'25

Papers

Reading Tea Leaves: How Humans Interpret Topic Models NIPS 2009
Stable and Efficient Gaussian Process Calculations JMLR 2009
Distributed Algorithms for Topic Models JMLR 2009
Near-minimax recursive density estimation on the binary hypercube NIPS 2008
Asynchronous Distributed Learning of Topic Models NIPS 2008
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NIPS 2008
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NIPS 2008
Probabilistic detection of short events, with application to critical care monitoring NIPS 2008
Supervised Exponential Family Principal Component Analysis via Convex Optimization NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
Correlated Bigram LSA for Unsupervised Language Model Adaptation NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NIPS 2008
The Infinite Hierarchical Factor Regression Model NIPS 2008
Learning Transformational Invariants from Natural Movies NIPS 2008
Characterizing response behavior in multisensory perception with conflicting cues NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
A mixture model for the evolution of gene expression in non-homogeneous datasets NIPS 2008
Gates NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference NIPS 2008
Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008
Bayesian Exponential Family PCA NIPS 2008
How memory biases affect information transmission: A rational analysis of serial reproduction NIPS 2008