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Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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Papers (including subtopics)

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015 On some provably correct cases of variational inference for topic models NeurIPS 2015 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015 Optimal Rates for Random Fourier Features NeurIPS 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NeurIPS 2015 Parallelizing MCMC with Random Partition Trees NeurIPS 2015 Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NeurIPS 2015 Particle Gibbs for Infinite Hidden Markov Models NeurIPS 2015 Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015 Preference Relation-based Markov Random Fields for Recommender Systems ACML 2015 Principal Differences Analysis: Interpretable Characterization of Differences between Distributions NeurIPS 2015 Probabilistic Appearance Models for Segmentation and Classification ICCV 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Probabilistic Line Searches for Stochastic Optimization NeurIPS 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Probability Occupancy Maps for Occluded Depth Images CVPR 2015 Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NeurIPS 2015 Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015 Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters NeurIPS 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NeurIPS 2015 Reified Context Models ICML 2015 Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process AISTATS 2015