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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Slice Normalized Dynamic Markov Logic Networks NIPS 2012
Randomized Optimum Models for Structured Prediction AISTATS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
On Estimation and Selection for Topic Models AISTATS 2012
Efficient and Exact MAP-MRF Inference using Branch and Bound AISTATS 2012
Low rank continuous-space graphical models AISTATS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NIPS 2012
On Lifting the Gibbs Sampling Algorithm NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Entangled Monte Carlo NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
Dynamical segmentation of single trials from population neural data NIPS 2011
Kernel Bayes' Rule NIPS 2011
Inductive reasoning about chimeric creatures NIPS 2011
Empirical models of spiking in neural populations NIPS 2011
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions NIPS 2011
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
Probabilistic amplitude and frequency demodulation NIPS 2011
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NIPS 2011
Convergent Decomposition Solvers for Tree-reweighted Free Energies AISTATS 2011
On Time Varying Undirected Graphs AISTATS 2011
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NIPS 2011