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bayesian learning

185 papers

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Co-occurring keywords

bayesian inference (1904) variational inference (2069) uncertainty quantification (1365) markov chain monte carlo (724) probabilistic modeling (851) posterior distribution (259) gaussian process (1198) transfer learning (5442) reinforcement learning (4122) stochastic gradient (296)

Papers

Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard COLT 2019
Iterative Bayesian Learning for Crowdsourced Regression AISTATS 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019
Bayesian Learning of Neural Network Architectures AISTATS 2019
Deep Bayesian Natural Language Processing ACL 2019
A Bayesian Approach to Robust Reinforcement Learning UAI 2019
LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition INTERSPEECH 2019
Variational Convolutional Neural Network Pruning CVPR 2019
Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations NAACL 2019
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NIPS 2018
Interactive Optimal Teaching with Unknown Learners IJCAI 2018
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data NIPS 2018
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NIPS 2018
The promises and pitfalls of Stochastic Gradient Langevin Dynamics NIPS 2018
Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018
Geometric Robustness of Deep Networks: Analysis and Improvement CVPR 2018
Gaussian Process Neural Networks for Speech Recognition INTERSPEECH 2018
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction EMNLP 2018
Bayesian Structure Learning for Dynamic Brain Connectivity AISTATS 2018
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server JMLR 2017
Probabilistic Inference in Hybrid Domains IJCAI 2017
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017
Learning in POMDPs with Monte Carlo Tree Search ICML 2017
Learning Topic-Sensitive Word Representations ACL 2017
Scalable Bayesian Rule Lists ICML 2017