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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Leveraging Meta Information in Short Text Aggregation ACL 2019
Neural Empirical Bayes JMLR 2019
Fast Automatic Smoothing for Generalized Additive Models JMLR 2019
Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2019
Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model JMLR 2019
Nonparametric Bayesian Aggregation for Massive Data JMLR 2019
Gaussian Processes with Linear Operator Inequality Constraints JMLR 2019
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019
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
Differentially Private Bayesian Linear Regression NIPS 2019
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NIPS 2019
Computational Separations between Sampling and Optimization NIPS 2019
Thompson Sampling and Approximate Inference NIPS 2019
Word Familiarity Rate Estimation Using a Bayesian Linear Mixed Model EMNLP 2019
A Bayesian Approach for Sequence Tagging with Crowds EMNLP 2019
Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation AAAI 2019
Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration RSS 2019
Thompson Sampling with Information Relaxation Penalties NIPS 2019