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Probabilistic Modeling

2,599 papers

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Papers

Inferring Generative Model Structure with Static Analysis NIPS 2017
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering NIPS 2017
Efficient and Flexible Inference for Stochastic Systems NIPS 2017
Collapsed variational Bayes for Markov jump processes NIPS 2017
Learning Chordal Markov Networks via Branch and Bound NIPS 2017
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting NIPS 2017
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit NIPS 2017
Filtering Variational Objectives NIPS 2017
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms NIPS 2017
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities NIPS 2017
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017
Recovering Probability Distributions from Missing Data ACML 2017
Gray-box Inference for Structured Gaussian Process Models AISTATS 2017
Local Perturb-and-MAP for Structured Prediction AISTATS 2017
Horde of Bandits using Gaussian Markov Random Fields AISTATS 2017
Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017
Markov Chain Truncation for Doubly-Intractable Inference AISTATS 2017
Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification AISTATS 2017
A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case AISTATS 2017
Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models AISTATS 2017
Prediction Performance After Learning in Gaussian Process Regression AISTATS 2017
Inference Compilation and Universal Probabilistic Programming AISTATS 2017
Information Projection and Approximate Inference for Structured Sparse Variables AISTATS 2017
Distribution of Gaussian Process Arc Lengths AISTATS 2017