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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Intervals of Causal Effects for Learning Causal Graphical Models PGM 2018
Unifying DAGs and UGs PGM 2018
Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models PGM 2018
Sparse Learning in Gaussian Chain Graphs for State Space Models PGM 2018
Same-Decision Probability: Threshold Robustness and Application to Explanation PGM 2018
Learning Bayesian Networks by Branching on Constraints PGM 2018
Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models PGM 2018
Efficiently Sampling from Underlying Models RSS 2018
Inverse Filtering for Hidden Markov Models NIPS 2017
Adaptive Bayesian Sampling with Monte Carlo EM NIPS 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NIPS 2017
Stein Variational Gradient Descent as Gradient Flow NIPS 2017
Expectation Propagation for t-Exponential Family Using q-Algebra NIPS 2017
Convolutional Gaussian Processes NIPS 2017
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
Variational Inference via $\chi$ Upper Bound Minimization NIPS 2017
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017
Linear Time Computation of Moments in Sum-Product Networks NIPS 2017
Model evidence from nonequilibrium simulations NIPS 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NIPS 2017