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Probabilistic Modeling

363 directly classified papers

Papers per year

Papers

Persistent Homology for Learning Densities with Bounded Support NIPS 2012
Compressive neural representation of sparse, high-dimensional probabilities NIPS 2012
Recognizing Activities by Attribute Dynamics NIPS 2012
Discriminative Learning of Sum-Product Networks NIPS 2012
Scalable imputation of genetic data with a discrete fragmentation-coagulation process NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
MAP Inference in Chains using Column Generation NIPS 2012
A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012
Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NIPS 2012
A Conditional Multinomial Mixture Model for Superset Label Learning NIPS 2012
Coupling Nonparametric Mixtures via Latent Dirichlet Processes NIPS 2012
Learning Mixtures of Tree Graphical Models NIPS 2012
Efficient high dimensional maximum entropy modeling via symmetric partition functions NIPS 2012
Symmetric Correspondence Topic Models for Multilingual Text Analysis NIPS 2012
Factorial LDA: Sparse Multi-Dimensional Text Models NIPS 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NIPS 2012
A Better Way to Pretrain Deep Boltzmann Machines NIPS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
A Spectral Algorithm for Latent Dirichlet Allocation NIPS 2012
Graphical Gaussian Vector for Image Categorization NIPS 2012
A Method of Moments for Mixture Models and Hidden Markov Models COLT 2012
Information Rates and Optimal Decoding in Large Neural Populations NIPS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011