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Probabilistic Modeling

2,599 papers

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Papers

Dynamic Importance Sampling for Anytime Bounds of the Partition Function NIPS 2017
Uprooting and Rerooting Higher-Order Graphical Models NIPS 2017
Deep Dynamic Poisson Factorization Model NIPS 2017
Reliable Decision Support using Counterfactual Models NIPS 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NIPS 2017
Spectral Mixture Kernels for Multi-Output Gaussian Processes NIPS 2017
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017
Linear Time Computation of Moments in Sum-Product Networks NIPS 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference NIPS 2017
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding NIPS 2017
Linearly constrained Gaussian processes NIPS 2017
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis NIPS 2017
Targeting EEG/LFP Synchrony with Neural Nets NIPS 2017
Probabilistic Rule Realization and Selection NIPS 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NIPS 2017
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NIPS 2017
Inference in Graphical Models via Semidefinite Programming Hierarchies NIPS 2017
Gauging Variational Inference NIPS 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity NIPS 2017
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach NIPS 2017
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NIPS 2017
GP CaKe: Effective brain connectivity with causal kernels NIPS 2017
Predicting User Activity Level In Point Processes With Mass Transport Equation NIPS 2017
Flexible statistical inference for mechanistic models of neural dynamics NIPS 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017