Rui Shu, Hung Bui, Jay Whang, Stefano Ermon.
Training Variational Autoencoders with Buffered Stochastic Variational Inference.
The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.
Ramtin Keramati*, Jay Whang*, Patrick Cho* and Emma Brunskill.
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning
arXiv preprint.
Ramtin Keramati*, Jay Whang*, Patrick Cho* and Emma Brunskill.
Strategic Exploration in Object-Oriented Reinforcement Learning.
The 35th International Conference on Machine Learning (ICML) Workshop on Exploration in RL, 2018.
Daniel De Freitas Adiwardana*, Akihiro Matsukawa*, Jay Whang*.
Using Generative Models for Semi-Supervised Learning.
Technical Report.
Jay Whang*, Akihiro Matsukawa*.
Exploring Batch Normalization in Recurrent Neural Networks.
Technical Report.
(* equal contribution)