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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

2
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193
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14833
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Papers (including subtopics)

Random Bayesian networks with bounded indegree AISTATS 2014
Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems AISTATS 2014
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014
Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014
Avoiding pathologies in very deep networks AISTATS 2014
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
Robust learning of inhomogeneous PMMs AISTATS 2014
Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014
Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014
Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014
On Estimating Causal Effects based on Supplemental Variables AISTATS 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
Tilted Variational Bayes AISTATS 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
Latent Gaussian Models for Topic Modeling AISTATS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014
On the Testability of Models with Missing Data AISTATS 2014
Black Box Variational Inference AISTATS 2014
Lifted MAP Inference for Markov Logic Networks AISTATS 2014
Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014
Loopy Belief Propagation in the Presence of Determinism AISTATS 2014
Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel AISTATS 2014