Bayesian & Probabilistic

Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NeurIPS 2010 A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010 Batch Bayesian Optimization via Simulation Matching NeurIPS 2010 Bayesian Action-Graph Games NeurIPS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Bayesian Generalized Kernel Models AISTATS 2010 Bayesian structure discovery in Bayesian networks with less space AISTATS 2010 Bayesian variable order Markov models AISTATS 2010 Brain covariance selection: better individual functional connectivity models using population prior NeurIPS 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Collaborative Filtering via Rating Concentration AISTATS 2010 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NeurIPS 2010 Construction of Dependent Dirichlet Processes based on Poisson Processes NeurIPS 2010 Copula Bayesian Networks NeurIPS 2010 Copula Processes NeurIPS 2010 Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NeurIPS 2010 Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010 Dependent Indian Buffet Processes AISTATS 2010 Deterministic Bayesian inference for the $p*$ model AISTATS 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010 Efficient Learning of Deep Boltzmann Machines AISTATS 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010