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Bayesian Inference

4,821 papers

Papers per year

Papers

Bayesian Deep Collaborative Matrix Factorization AAAI 2019
SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019
Confidence Weighted Multitask Learning AAAI 2019
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification AAAI 2019
Self-Adversarially Learned Bayesian Sampling AAAI 2019
Bayesian Execution Skill Estimation AAAI 2019
Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019
Word Embedding as Maximum A Posteriori Estimation AAAI 2019
Dependency Grammar Induction with a Neural Variational Transition-Based Parser AAAI 2019
Learning Diverse Bayesian Networks AAAI 2019
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs AAAI 2019
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation AAAI 2019
Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts AAAI 2019
Finding All Bayesian Network Structures within a Factor of Optimal AAAI 2019
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019
Compiling Bayesian Network Classifiers into Decision Graphs AAAI 2019
Lifted Hinge-Loss Markov Random Fields AAAI 2019
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping AAAI 2019
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019
Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation AAAI 2019
Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019