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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity COLT 2018
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NIPS 2018
Turing: A Language for Flexible Probabilistic Inference AISTATS 2018
Graphical model inference: Sequential Monte Carlo meets deterministic approximations NIPS 2018
Predictive Uncertainty Estimation via Prior Networks NIPS 2018
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations EMNLP 2018
Exponentiated Strongly Rayleigh Distributions NIPS 2018
Model-based targeted dimensionality reduction for neuronal population data NIPS 2018
Learning and Inference in Hilbert Space with Quantum Graphical Models NIPS 2018
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NIPS 2018
Possibilistic ASP Base Revision by Certain Input IJCAI 2018
Particle Filter Networks with Application to Visual Localization CORL 2018
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery INTERSPEECH 2018
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NIPS 2018
Taming Performance Variability OSDI 2018
Sparse Learning in Gaussian Chain Graphs for State Space Models PGM 2018
Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models PGM 2018
Unifying DAGs and UGs PGM 2018
Intervals of Causal Effects for Learning Causal Graphical Models PGM 2018
Consistent Estimation given Missing Data PGM 2018
Making Continuous Time Bayesian Networks More Flexible PGM 2018
Bayesian Network Structure Learning with Side Constraints PGM 2018
Distributionally Robust Graphical Models NIPS 2018
Proximal Graphical Event Models NIPS 2018
PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields ACL 2018