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Probabilistic Modeling

83 directly classified papers

Papers per year

Papers

Optimizing Long-term Predictions for Model-based Policy Search CORL 2017
Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017
An Automatic Approach for Document-level Topic Model Evaluation CONLL 2017
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators INTERSPEECH 2016
Learning Planar Ising Models JMLR 2016
Bounding errors of Expectation-Propagation NIPS 2015
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015
Accurate and conservative estimates of MRF log-likelihood using reverse annealing AISTATS 2015
Tree-structured Gaussian Process Approximations NIPS 2014
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation JMLR 2014
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing ICML 2013
Nonparametric Multi-group Membership Model for Dynamic Networks NIPS 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
Online Sum-Product Computation Over Trees NIPS 2012
The Bethe Partition Function of Log-supermodular Graphical Models NIPS 2012
Learning from the Wisdom of Crowds by Minimax Entropy NIPS 2012
Proper losses for learning from partial labels NIPS 2012
t-divergence Based Approximate Inference NIPS 2011
Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010
Approximating MAP by Compensating for Structural Relaxations NIPS 2009
Characterizing response behavior in multisensory perception with conflicting cues NIPS 2008
A general framework for investigating how far the decoding process in the brain can be simplified NIPS 2008