Bayesian & Probabilistic
4,733 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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95
142
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164
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411
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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