7.1k citations · 8k across the 17 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016★ 16 cited
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Hao Wang, Dit-Yan Yeung
While perception tasks such as visual object recognition and text understanding play an important role in human intelligence, the subsequent tasks that involve inference, reasoning…
stat.ML2016★ 3 cited
Bayesian quantile additive regression trees
Bereket P. Kindo, Hao Wang, Timothy Hanson +1
Ensemble of regression trees have become popular statistical tools for the estimation of conditional mean given a set of predictors. However, quantile regression trees and their en…
stat.ML2016★ 16 cited
A Survey on Bayesian Deep Learning
Hao Wang, Dit-Yan Yeung
A comprehensive artificial intelligence system needs to not only perceive the environment with different `senses' (e.g., seeing and hearing) but also infer the world's conditional…