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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Bayesian Co-Boosting for Multi-modal Gesture Recognition JMLR 2014
Inconsistency of Pitman-Yor Process Mixtures for the Number of Components JMLR 2014
Revisiting Bayesian Blind Deconvolution JMLR 2014
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression RSS 2014
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles NIPS 2013
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013
Multi-Prediction Deep Boltzmann Machines NIPS 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
Efficient Online Inference for Bayesian Nonparametric Relational Models NIPS 2013
Learning to Pass Expectation Propagation Messages NIPS 2013
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NIPS 2013
Integrated Non-Factorized Variational Inference NIPS 2013
Optimal integration of visual speed across different spatiotemporal frequency channels NIPS 2013
Tracking Time-varying Graphical Structure NIPS 2013
Scalable Inference for Logistic-Normal Topic Models NIPS 2013
Conditional Random Fields via Univariate Exponential Families NIPS 2013
Demixing odors - fast inference in olfaction NIPS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NIPS 2013
Bayesian Hierarchical Community Discovery NIPS 2013
Prior-free and prior-dependent regret bounds for Thompson Sampling NIPS 2013
Restricting exchangeable nonparametric distributions NIPS 2013
On Poisson Graphical Models NIPS 2013