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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
Leveraging Meta Information in Short Text Aggregation ACL 2019
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models ACL 2019
An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics ACL 2019
Variational Convolutional Neural Network Pruning CVPR 2019
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera CVPR 2019
Dichromatic Model Based Temporal Color Constancy for AC Light Sources CVPR 2019
A Bayesian Approach for Sequence Tagging with Crowds EMNLP 2019
Word Familiarity Rate Estimation Using a Bayesian Linear Mixed Model EMNLP 2019
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NIPS 2019
Poisson-Randomized Gamma Dynamical Systems NIPS 2019
Bayesian Layers: A Module for Neural Network Uncertainty NIPS 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods NIPS 2019
Correlation Priors for Reinforcement Learning NIPS 2019
Debiased Bayesian inference for average treatment effects NIPS 2019
Streaming Bayesian Inference for Crowdsourced Classification NIPS 2019
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay NIPS 2019
Gradient-based Adaptive Markov Chain Monte Carlo NIPS 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NIPS 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NIPS 2019
Meta Learning with Relational Information for Short Sequences NIPS 2019
Rethinking the CSC Model for Natural Images NIPS 2019
Bayesian Joint Estimation of Multiple Graphical Models NIPS 2019
Estimating Convergence of Markov chains with L-Lag Couplings NIPS 2019