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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Entropy Search for Information-Efficient Global Optimization JMLR 2012
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences JMLR 2012
A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NIPS 2012
Probabilistic Modeling of Human Movements for Intention Inference RSS 2012
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression JMLR 2012
Online Sum-Product Computation Over Trees NIPS 2012
Variational Multinomial Logit Gaussian Process JMLR 2012
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NIPS 2012
Bayesian nonparametric models for ranked data NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NIPS 2012
Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
On Lifting the Gibbs Sampling Algorithm NIPS 2012
Meta-Gaussian Information Bottleneck NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Randomized Optimum Models for Structured Prediction 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
Efficient high dimensional maximum entropy modeling via symmetric partition functions NIPS 2012
Gaussian Processes for time-marked time-series data AISTATS 2012