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Bayesian Inference

518 directly classified papers

Papers per year

Papers

Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016
Regime Aware Learning PGM 2016
Black-Box Alpha Divergence Minimization ICML 2016
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016
Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016
Learning Parameters of Hybrid Time Bayesian Networks PGM 2016
Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016
Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks PGM 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016
Bayesian Networks for Variable Groups PGM 2016
Bayesian Torrent Classification by File Name and Size Only PGM 2016
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NIPS 2016
A Bayesian method for reducing bias in neural representational similarity analysis NIPS 2016
Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks PGM 2016
Reintroducing Credal Networks under Epistemic Irrelevance PGM 2016
On Bayesian Network Inference with Simple Propagation PGM 2016
Bayesian Networks: a Combined Tuning Heuristic PGM 2016
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NIPS 2016
Streaming, Distributed Variational Inference for Bayesian Nonparametrics NIPS 2015
Nested Sequential Monte Carlo Methods ICML 2015
The Population Posterior and Bayesian Modeling on Streams NIPS 2015
Fast Lifted MAP Inference via Partitioning NIPS 2015
Image Segmentation in Twenty Questions CVPR 2015
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015