Probabilistic Modeling

Bayesian nonparametric models for ranked data NeurIPS 2012 Bayesian Quadrature for Ratios AISTATS 2012 Causal Bounds and Observable Constraints for Non-deterministic Models JMLR 2012 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012 Cocktail Party Processing via Structured Prediction NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 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 direct estimation of a neural subunit model for sensory coding NeurIPS 2012 Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NeurIPS 2012 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012 Entropy Search for Information-Efficient Global Optimization JMLR 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 Fully Bayesian inference for neural models with negative-binomial spiking NeurIPS 2012