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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Learning the Structure of Variable-Order CRFs: a finite-state perspective EMNLP 2017
Scalable Model Selection for Belief Networks NIPS 2017
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NIPS 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NIPS 2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data NIPS 2017
Gaussian process based nonlinear latent structure discovery in multivariate spike train data NIPS 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017
Tractability in Structured Probability Spaces NIPS 2017
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting NIPS 2017
On the Model Shrinkage Effect of Gamma Process Edge Partition Models NIPS 2017
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms NIPS 2017
Multi-way Interacting Regression via Factorization Machines NIPS 2017
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities NIPS 2017
Robust Asymmetric Bayesian Adaptive Matrix Factorization IJCAI 2017
Machine Translation of Spanish Personal and Possessive Pronouns Using Anaphora Probabilities EACL 2017
ES-LDA: Entity Summarization using Knowledge-based Topic Modeling IJCNLP 2017
A Network Framework for Noisy Label Aggregation in Social Media ACL 2017
Learning Topic-Sensitive Word Representations ACL 2017
Diachrony-aware Induction of Binary Latent Representations from Typological Features IJCNLP 2017
Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior IJCNLP 2017
Variational Inference via $\chi$ Upper Bound Minimization NIPS 2017
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017
Contrasting Vertical and Horizontal Transmission of Typological Features COLING 2016
Topic-Based Embeddings for Learning from Large Knowledge Graphs AISTATS 2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016