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Probabilistic Modeling

2,599 papers

Papers per year

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Papers

On Lifting the Gibbs Sampling Algorithm NIPS 2012
Gaussian Processes for time-marked time-series data AISTATS 2012
Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012
Kernel Topic Models AISTATS 2012
Subset Infinite Relational Models AISTATS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012
Bayesian Quadrature for Ratios AISTATS 2012
Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Randomized Optimum Models for Structured Prediction AISTATS 2012
A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012
A Composite Likelihood View for Multi-Label Classification AISTATS 2012
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression JMLR 2012
Causal Bounds and Observable Constraints for Non-deterministic Models JMLR 2012
A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012
Variational Multinomial Logit Gaussian Process JMLR 2012
Entropy Search for Information-Efficient Global Optimization JMLR 2012
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences JMLR 2012
Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012