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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)

Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Coco-Q: Learning in Stochastic Games with Side Payments ICML 2013
Estimation of Causal Peer Influence Effects ICML 2013
Bridging the Gap Between Refinement and Heuristics in Abstraction IJCAI 2013
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013
MAGIC Summoning: Towards Automatic Suggesting and Testing of Gestures With Low Probability of False Positives During Use JMLR 2013
Sparse Single-Index Model JMLR 2013
Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013
A Framework for Evaluating Approximation Methods for Gaussian Process Regression JMLR 2013
Algorithms for Discovery of Multiple Markov Boundaries JMLR 2013
Bayesian Nonparametric Hidden Semi-Markov Models JMLR 2013
Quasi-Newton Method: A New Direction JMLR 2013
A Widely Applicable Bayesian Information Criterion JMLR 2013
Bayesian Canonical Correlation Analysis JMLR 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Finding Optimal Bayesian Networks Using Precedence Constraints JMLR 2013
Language-Motivated Approaches to Action Recognition JMLR 2013
Gaussian Kullback-Leibler Approximate Inference JMLR 2013
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013
Experiment Selection for Causal Discovery JMLR 2013
Stationary-Sparse Causality Network Learning JMLR 2013
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising JMLR 2013
Fast MCMC Sampling for Markov Jump Processes and Extensions JMLR 2013
Classifying With Confidence From Incomplete Information JMLR 2013