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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)

Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NIPS 2015
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding NIPS 2015
Barrier Frank-Wolfe for Marginal Inference NIPS 2015
Bayesian Optimization with Exponential Convergence NIPS 2015
Sampling from Probabilistic Submodular Models NIPS 2015
Learning spatiotemporal trajectories from manifold-valued longitudinal data NIPS 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NIPS 2015
GP Kernels for Cross-Spectrum Analysis NIPS 2015
Unlocking neural population non-stationarities using hierarchical dynamics models NIPS 2015
Learning Bayesian Networks with Thousands of Variables NIPS 2015
Differentially Private Learning of Structured Discrete Distributions NIPS 2015
Lifted Inference Rules With Constraints NIPS 2015
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models NIPS 2015
Inference for determinantal point processes without spectral knowledge NIPS 2015
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NIPS 2015
Latent Bayesian melding for integrating individual and population models NIPS 2015
On-the-Job Learning with Bayesian Decision Theory NIPS 2015
Automatic Variational Inference in Stan NIPS 2015
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NIPS 2015
Streaming, Distributed Variational Inference for Bayesian Nonparametrics NIPS 2015
Probabilistic Variational Bounds for Graphical Models NIPS 2015
The Human Kernel NIPS 2015
A hybrid sampler for Poisson-Kingman mixture models NIPS 2015
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NIPS 2015
Robust Spectral Inference for Joint Stochastic Matrix Factorization NIPS 2015