bayesian learning

Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020 Variational Inference for Computational Imaging Inverse Problems JMLR 2020 A Bayesian Approach to Robust Reinforcement Learning UAI 2019 Bayesian Learning of Neural Network Architectures AISTATS 2019 Bayesian Optimized 1-Bit CNNs ICCV 2019 BayesNAS: A Bayesian Approach for Neural Architecture Search ICML 2019 Computational Separations between Sampling and Optimization NeurIPS 2019 Correlation Priors for Reinforcement Learning NeurIPS 2019 Deep Bayesian Natural Language Processing ACL 2019 Differentially Private Markov Chain Monte Carlo NeurIPS 2019 DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019 Fast Iterative Combinatorial Auctions via Bayesian Learning AAAI 2019 Iterative Bayesian Learning for Crowdsourced Regression AISTATS 2019 Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations NAACL 2019 LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition Interspeech 2019 Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard COLT 2019 Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NeurIPS 2019 Variational Convolutional Neural Network Pruning CVPR 2019 Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data NeurIPS 2018 Bayesian Structure Learning for Dynamic Brain Connectivity AISTATS 2018 Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction EMNLP 2018 Gaussian Process Neural Networks for Speech Recognition Interspeech 2018 Geometric Robustness of Deep Networks: Analysis and Improvement CVPR 2018 Interactive Optimal Teaching with Unknown Learners IJCAI 2018 The promises and pitfalls of Stochastic Gradient Langevin Dynamics NeurIPS 2018