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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)

Detection of Principle Directions in Unknown Environments for Autonomous Navigation RSS 2008
Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008
Probabilistic Models of Object Geometry for Grasp Planning RSS 2008
HyPE: Hybrid Particle-Element Approach for Recursive Bayesian Searching and Tracking RSS 2008
Predictive Matrix-Variate t Models NIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
A Bayesian Model of Conditioned Perception NIPS 2007
The Noisy-Logical Distribution and its Application to Causal Inference NIPS 2007
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NIPS 2007
Multi-task Gaussian Process Prediction NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007