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Bayesian & Probabilistic

5,407 papers (3 classified directly here)

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Papers (including subtopics)

Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization IJCAI 2018 Joint Posterior Revision of NLP Annotations via Ontological Knowledge IJCAI 2018 Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning IJCAI 2018 Latent Factor Analysis of Deep Bottleneck Features for Speaker Verification with Random Digit Strings Interspeech 2018 Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments NeurIPS 2018 Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018 Learning a latent manifold of odor representations from neural responses in piriform cortex NeurIPS 2018 Learning and Inference in Hilbert Space with Quantum Graphical Models NeurIPS 2018 Learning Bayesian network classifiers with completed partially directed acyclic graphs PGM 2018 Learning Bayesian Networks by Branching on Constraints PGM 2018 Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra NeurIPS 2018 Learning Conceptual Space Representations of Interrelated Concepts IJCAI 2018 Learning Continuous Time Bayesian Networks in Non-stationary Domains IJCAI 2018 Learning Determinantal Point Processes in Sublinear Time AISTATS 2018 Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types COLING 2018 Learning in Integer Latent Variable Models with Nested Automatic Differentiation ICML 2018 Learning Invariances using the Marginal Likelihood NeurIPS 2018 Learning Latent Permutations with Gumbel-Sinkhorn Networks ICLR 2018 Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction NeurIPS 2018 Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NeurIPS 2018 Learning Registered Point Processes from Idiosyncratic Observations ICML 2018 Learning Robust Gaussian Process Regression for Visual Tracking IJCAI 2018 Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem NeurIPS 2018 Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018 Lifted Filtering via Exchangeable Decomposition IJCAI 2018