bayesian learning

Near-Optimal Data Source Selection for Bayesian Learning L4DC 2021 On the Existence of The Adversarial Bayes Classifier NeurIPS 2021 Posterior Meta-Replay for Continual Learning NeurIPS 2021 Probabilistic robust linear quadratic regulators with Gaussian processes L4DC 2021 Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021 Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer Interspeech 2021 Sparse Multi-Path Corrections in Fringe Projection Profilometry CVPR 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions NeurIPS 2020 Asynchronous Gibbs Sampling AISTATS 2020 BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020 Bayesian Attention Modules NeurIPS 2020 Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020 Bayesian Hierarchical Words Representation Learning ACL 2020 Bayesian Learning with Adaptive Load Allocation Strategies L4DC 2020 Bayesian Sparsification of Deep C-valued Networks ICML 2020 Capsule Routing via Variational Bayes AAAI 2020 Decentralized Langevin Dynamics for Bayesian Learning NeurIPS 2020 KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering CVPR 2020 L1-GP: L1 Adaptive Control with Bayesian Learning L4DC 2020 Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts NeurIPS 2020 Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics L4DC 2020 Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NeurIPS 2020 Sampling-Free Learning of Bayesian Quantized Neural Networks ICLR 2020 Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020