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Probabilistic Modeling

2,599 papers

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Papers

Stein Variational Gradient Descent as Moment Matching NIPS 2018
Heterogeneous Multi-output Gaussian Process Prediction NIPS 2018
Learning a latent manifold of odor representations from neural responses in piriform cortex NIPS 2018
Exponentiated Strongly Rayleigh Distributions NIPS 2018
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes NIPS 2018
Variational Learning on Aggregate Outputs with Gaussian Processes NIPS 2018
Bayesian Alignments of Warped Multi-Output Gaussian Processes NIPS 2018
Graphical model inference: Sequential Monte Carlo meets deterministic approximations NIPS 2018
Predictive Uncertainty Estimation via Prior Networks NIPS 2018
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence NIPS 2018
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra NIPS 2018
Approximate Knowledge Compilation by Online Collapsed Importance Sampling NIPS 2018
A probabilistic population code based on neural samples NIPS 2018
Randomized Prior Functions for Deep Reinforcement Learning NIPS 2018
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NIPS 2018
Algorithmic Linearly Constrained Gaussian Processes NIPS 2018
Coupled Variational Bayes via Optimization Embedding NIPS 2018
Variational Bayesian Monte Carlo NIPS 2018
Distributionally Robust Graphical Models NIPS 2018
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments NIPS 2018
Faithful Inversion of Generative Models for Effective Amortized Inference NIPS 2018
Model-based targeted dimensionality reduction for neuronal population data NIPS 2018
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NIPS 2018
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NIPS 2018
HOGWILD!-Gibbs can be PanAccurate NIPS 2018