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Probabilistic Modeling

2,599 papers

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Papers

Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Bayesian Inference for Structured Spike and Slab Priors NIPS 2014
Restricted Boltzmann machines modeling human choice NIPS 2014
Extended and Unscented Gaussian Processes NIPS 2014
Inferring synaptic conductances from spike trains with a biophysically inspired point process model NIPS 2014
Conditional Random Field Autoencoders for Unsupervised Structured Prediction NIPS 2014
Scalable Inference for Neuronal Connectivity from Calcium Imaging NIPS 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NIPS 2014
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NIPS 2014
Recursive Inversion Models for Permutations NIPS 2014
Learning Time-Varying Coverage Functions NIPS 2014
Learning Mixtures of Ranking Models NIPS 2014
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
From MAP to Marginals: Variational Inference in Bayesian Submodular Models NIPS 2014
Global Sensitivity Analysis for MAP Inference in Graphical Models NIPS 2014
Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014
Avoiding pathologies in very deep networks AISTATS 2014
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
Robust learning of inhomogeneous PMMs AISTATS 2014
Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014
Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
Latent Gaussian Models for Topic Modeling AISTATS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014