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Probabilistic Modeling

2,599 papers

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Papers

Lifted Hinge-Loss Markov Random Fields AAAI 2019
Counting and Sampling Markov Equivalent Directed Acyclic Graphs AAAI 2019
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces AAAI 2019
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019
Evidence-based Trustworthiness ACL 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019
Latent Variable Sentiment Grammar ACL 2019
Deep Bayesian Natural Language Processing ACL 2019
Modeling Markedness with a Split-and-Merger Model of Sound Change ACL 2019
Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019
Scalable Thompson Sampling via Optimal Transport AISTATS 2019
Inferring Multidimensional Rates of Aging from Cross-Sectional Data AISTATS 2019
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models AISTATS 2019
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019
Reversible Jump Probabilistic Programming AISTATS 2019
Gaussian Process Latent Variable Alignment Learning AISTATS 2019
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure AISTATS 2019
Forward Amortized Inference for Likelihood-Free Variational Marginalization AISTATS 2019
Generalized Boltzmann Machine with Deep Neural Structure AISTATS 2019
Markov Properties of Discrete Determinantal Point Processes AISTATS 2019
Lifted Weight Learning of Markov Logic Networks Revisited AISTATS 2019
Learning Tree Structures from Noisy Data AISTATS 2019
Deep learning with differential Gaussian process flows AISTATS 2019
Generalizing the theory of cooperative inference AISTATS 2019
Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019