UAI 2021
206 papers
TreeBERT: A tree-based pre-trained model for programming language
Xue Jiang, Zhuoran Zheng, Chen Lyu, Liang Li, Lei Lyu
Variational inference with continuously-indexed normalizing flows
Anthony Caterini, Rob Cornish, Dino Sejdinovic, Arnaud Doucet
Efficient debiased evidence estimation by multilevel Monte Carlo sampling
Kei Ishikawa, Takashi Goda
Task similarity aware meta learning: theory-inspired improvement on MAML
Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong
The neural moving average model for scalable variational inference of state space models
Thomas Ryder, Dennis Prangle, Andrew Golightly, Isaac Matthews
Proceedings of the thirty-seventh conference on Uncertainty in Artificial Intelligence — Preface
Cassio de Campos, Marloes H. Maathuis, Erik Quaeghebeur