Probabilistic Modeling

Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012 Distributed Probabilistic Learning for Camera Networks with Missing Data NeurIPS 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Efficient and Exact MAP-MRF Inference using Branch and Bound AISTATS 2012 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Efficient Sampling for Bipartite Matching Problems NeurIPS 2012 Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012 Entangled Monte Carlo NeurIPS 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 Graphical Gaussian Vector for Image Categorization NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Hierarchical spike coding of sound NeurIPS 2012 Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NeurIPS 2012