← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

A Conditional Multinomial Mixture Model for Superset Label Learning NIPS 2012
Bayesian Probabilistic Co-Subspace Addition NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Scalable imputation of genetic data with a discrete fragmentation-coagulation process NIPS 2012
On the Sample Complexity of Robust PCA NIPS 2012
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NIPS 2012
Efficient Sampling for Bipartite Matching Problems NIPS 2012
Nonparanormal Belief Propagation (NPNBP) NIPS 2012
Modelling Reciprocating Relationships with Hawkes Processes NIPS 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Recognizing Activities by Attribute Dynamics NIPS 2012
Minimization of Continuous Bethe Approximations: A Positive Variation NIPS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012
Near-Optimal MAP Inference for Determinantal Point Processes NIPS 2012
Joint Modeling of a Matrix with Associated Text via Latent Binary Features NIPS 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NIPS 2012
Augment-and-Conquer Negative Binomial Processes NIPS 2012
Factorial LDA: Sparse Multi-Dimensional Text Models NIPS 2012
Symmetric Correspondence Topic Models for Multilingual Text Analysis NIPS 2012
Causal discovery with scale-mixture model for spatiotemporal variance dependencies NIPS 2012
Learning from the Wisdom of Crowds by Minimax Entropy NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012