Bayesian & Probabilistic

Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 Hidden Factor Analysis for Age Invariant Face Recognition ICCV 2013 Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data ICML 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 Inferring "Dark Matter" and "Dark Energy" from Videos ICCV 2013 Infinite Latent Conditional Random Fields for Modeling Environments through Humans RSS 2013 Infinite Markov-Switching Maximum Entropy Discrimination Machines ICML 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013 Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013 Kernelized Bayesian Matrix Factorization ICML 2013 Language-Motivated Approaches to Action Recognition JMLR 2013 Latent Data Association: Bayesian Model Selection for Multi-target Tracking ICCV 2013 Latent Task Adaptation with Large-Scale Hierarchies ICCV 2013 LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013 Learning and using language via recursive pragmatic reasoning about other agents NeurIPS 2013 Learning Chordal Markov Networks by Constraint Satisfaction NeurIPS 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs NeurIPS 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning Linear Bayesian Networks with Latent Variables ICML 2013 Learning Markov Networks With Arithmetic Circuits AISTATS 2013 Learning Slow Features for Behaviour Analysis ICCV 2013