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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Hamiltonian Monte Carlo with Energy Conserving Subsampling JMLR 2019
Dependent relevance determination for smooth and structured sparse regression JMLR 2019
Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees JMLR 2019
Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019
Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019
Variational Convolutional Neural Network Pruning CVPR 2019
Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration RSS 2019
Computational Separations between Sampling and Optimization NIPS 2019
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NIPS 2019
Differentially Private Bayesian Linear Regression NIPS 2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019
One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019
Thompson Sampling and Approximate Inference NIPS 2019
Leveraging Meta Information in Short Text Aggregation ACL 2019
Pseudo-Extended Markov chain Monte Carlo NIPS 2019
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models ACL 2019
Thompson Sampling with Information Relaxation Penalties NIPS 2019
Probabilistic Logic Programming with Beta-Distributed Random Variables AAAI 2019
On the Hardness of Probabilistic Inference Relaxations AAAI 2019
Finding All Bayesian Network Structures within a Factor of Optimal AAAI 2019
Word Embedding as Maximum A Posteriori Estimation AAAI 2019
Self-Adversarially Learned Bayesian Sampling AAAI 2019
Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019
Compiling Bayesian Network Classifiers into Decision Graphs AAAI 2019