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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules EMNLP 2019
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces AAAI 2019
Structured Bayesian Networks: From Inference to Learning with Routes AAAI 2019
Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019
Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation AAAI 2019
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs AAAI 2019
Learning Diverse Bayesian Networks AAAI 2019
On the Hardness of Probabilistic Inference Relaxations AAAI 2019
On Testing of Uniform Samplers AAAI 2019
A Unified Bayesian Source Modelling for Determined Blind Source Separation INTERSPEECH 2019
Stein Variational Message Passing for Continuous Graphical Models ICML 2018
Learning in Integer Latent Variable Models with Nested Automatic Differentiation ICML 2018
Probabilistic Boolean Tensor Decomposition ICML 2018
Constant-Time Predictive Distributions for Gaussian Processes ICML 2018
Proximal Graphical Event Models NIPS 2018
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NIPS 2018
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden {M}arkov Models JMLR 2018
Joint Posterior Revision of NLP Annotations via Ontological Knowledge IJCAI 2018
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations EMNLP 2018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control AISTATS 2018
Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization IJCAI 2018