← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

FACTS: A Hierarchical Task-based Control Model of Speech Incorporating Sensory Feedback INTERSPEECH 2018
A Bayesian Latent Variable Model of User Preferences with Item Context IJCAI 2018
Learning Robust Gaussian Process Regression for Visual Tracking IJCAI 2018
Scalable approximate Bayesian inference for particle tracking data ICML 2018
Variational Learning on Aggregate Outputs with Gaussian Processes NIPS 2018
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning ICML 2018
Learning a latent manifold of odor representations from neural responses in piriform cortex NIPS 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions ICML 2018
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach ICML 2018
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks ICML 2018
Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data ICML 2018
End-to-End Learning for the Deep Multivariate Probit Model ICML 2018
Algebraic tests of general Gaussian latent tree models NIPS 2018
Objective and efficient inference for couplings in neuronal networks NIPS 2018
Lifted Weighted Mini-Bucket NIPS 2018
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity NIPS 2018
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NIPS 2018
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NIPS 2018
Message Passing Stein Variational Gradient Descent ICML 2018
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NIPS 2018
Learning Registered Point Processes from Idiosyncratic Observations ICML 2018
Bayesian Quadrature for Multiple Related Integrals ICML 2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms ICML 2018
Model-based targeted dimensionality reduction for neuronal population data NIPS 2018
Direct Estimation of Differences in Causal Graphs NIPS 2018