Papers
Bayesian Estimator for Partial Trajectory Alignment
Przemyslaw A. Lasota, Julie A. Shah
Bayesian Execution Skill Estimation
Christopher Archibald, Delma Nieves-Rivera
Bayesian Fairness
Christos Dimitrakakis, Yang Liu, David C. Parkes et al.
Bayesian Functional Optimisation with Shape Prior
Pratibha Vellanki, Santu Rana, Sunil Gupta et al.
Bayesian Generative Active Deep Learning
Toan Tran, Thanh-Toan Do, Ian Reid et al.
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification
Yingxue Zhang, Soumyasundar Pal, Mark Coates et al.
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition
Rui Zhao, Kang Wang, Hui Su et al.
Bayesian Hierarchical Dynamic Model for Human Action Recognition
Rui Zhao, Wanru Xu, Hui Su et al.
Bayesian HMM Based x-Vector Clustering for Speaker Diarization
Mireia Diez, Lukáš Burget, Shuai Wang et al.
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations
Joseph Kim, Christian Muise, Ankit Shah et al.
Bayesian Joint Estimation of Multiple Graphical Models
Lingrui Gan, Xinming Yang, Naveen Narisetty et al.
Bayesian Joint Spike-and-Slab Graphical Lasso
Zehang Li, Tyler Mccormick, Samuel Clark
Bayesian Layers: A Module for Neural Network Uncertainty
Dustin Tran, Mike Dusenberry, Mark van der Wilk et al.
Bayesian Learning for Neural Dependency Parsing
Ehsan Shareghi, Yingzhen Li, Yi Zhu et al.
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference
Kelvin Hsu, Fabio Ramos
Bayesian Learning of Neural Network Architectures
Georgi Dikov, Justin Bayer
Bayesian Learning of Sum-Product Networks
Martin Trapp, Robert Peharz, Hong Ge et al.
Bayesian leave-one-out cross-validation for large data
Måns Magnusson, Michael Andersen, Johan Jonasson et al.
Bayesian Loss for Crowd Count Estimation With Point Supervision
Zhiheng Ma, Xing Wei, Xiaopeng Hong et al.
Bayesian Nonparametric Federated Learning of Neural Networks
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh et al.
Bayesian optimisation under uncertain inputs
Rafael Oliveira, Lionel Ott, Fabio Ramos
Bayesian Optimization for Policy Search via Online-Offline Experimentation
Benjamin Letham, Eytan Bakshy
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
Rika Antonova, Akshara Rai, Tianyu Li et al.
Bayesian Optimization Meets Bayesian Optimal Stopping
Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low et al.
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Noémie Jaquier, Leonel Rozo, Sylvain Calinon et al.