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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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Papers (including subtopics)

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective EMNLP 2017
Tensor Belief Propagation ICML 2017
Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling JMLR 2016
Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs COLING 2016
Black-Box Alpha Divergence Minimization ICML 2016
Edge-exchangeable graphs and sparsity NIPS 2016
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies ICML 2016
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling NIPS 2016
Stochastic Gradient MCMC with Stale Gradients NIPS 2016
Non-linear Causal Inference using Gaussianity Measures JMLR 2016
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016
Multiple Kernel Learning with Data Augmentation ACML 2016
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods NIPS 2016
Stable Graphical Models JMLR 2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016
Compressed Gaussian Process for Manifold Regression JMLR 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model NIPS 2016
Evidence Evaluation: a Study of Likelihoods and Independence PGM 2016
Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine INTERSPEECH 2016