Bayesian & Probabilistic

Rent3D: Floor-Plan Priors for Monocular Layout Estimation CVPR 2015 Rethinking LDA: Moment Matching for Discrete ICA NeurIPS 2015 Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015 Robust Multi-Image Based Blind Face Hallucination CVPR 2015 Sampling from Probabilistic Submodular Models NeurIPS 2015 Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models NeurIPS 2015 Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015 Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NeurIPS 2015 Scalable Variational Gaussian Process Classification AISTATS 2015 Segregated Graphs and Marginals of Chain Graph Models NeurIPS 2015 Smooth and Strong: MAP Inference with Linear Convergence NeurIPS 2015 Softstar: Heuristic-Guided Probabilistic Inference NeurIPS 2015 Sparse Submodular Probabilistic PCA AISTATS 2015 Stochastic Expectation Propagation NeurIPS 2015 Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015 Stochastic Structured Variational Inference AISTATS 2015 Streaming, Distributed Variational Inference for Bayesian Nonparametrics NeurIPS 2015 Streaming Variational Inference for Dirichlet Process Mixtures ACML 2015 Structural Maxent Models ICML 2015 Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NeurIPS 2015 The Human Kernel NeurIPS 2015 The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015 Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number NeurIPS 2015 Tractable Learning for Complex Probability Queries NeurIPS 2015 Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NeurIPS 2015