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Artificial Intelligence

72,274 papers (0 classified directly here)

Subtopics

Core AI (59,089) Learning Paradigms (14,108) Bayesian & Probabilistic (4,335)

Papers per year

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Papers (including subtopics)

Kernel Adaptive Metropolis-Hastings ICML 2014
Learning the Irreducible Representations of Commutative Lie Groups ICML 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014
Neural Variational Inference and Learning in Belief Networks ICML 2014
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014
Beta Diffusion Trees ICML 2014
A Compilation Target for Probabilistic Programming Languages ICML 2014
Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014
A reversible infinite HMM using normalised random measures ICML 2014
A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014
Information Theoretical Estimators Toolbox JMLR 2014
Improving Markov Network Structure Learning Using Decision Trees JMLR 2014
Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Study in Human Volunteers JMLR 2014
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation JMLR 2014
Gibbs Max-margin Topic Models with Data Augmentation JMLR 2014
Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders JMLR 2014
Structured Prediction via Output Space Search JMLR 2014
Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014
Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs JMLR 2014
Expectation Propagation for Neural Networks with Sparsity-Promoting Priors JMLR 2014
Causal Discovery with Continuous Additive Noise Models JMLR 2014
Parallel MCMC with Generalized Elliptical Slice Sampling JMLR 2014
Particle Gibbs with Ancestor Sampling JMLR 2014
Efficient State-Space Inference of Periodic Latent Force Models JMLR 2014
Contextual Bandits with Similarity Information JMLR 2014