17 citations · 27 across the 5 of their papers we have counts for
5 papers
Progressive Open-Domain Response Generation with Multiple Controllable Attributes
Haiqin Yang, Xiaoyuan Yao, Yiqun Duan +3
It is desirable to include more controllable attributes to enhance the diversity of generated responses in open-domain dialogue systems. However, existing methods can generate resp…
A Stochastic Time Series Model for Predicting Financial Trends using NLP
Pratyush Muthukumar, Jie Zhong
Stock price forecasting is a highly complex and vitally important field of research. Recent advancements in deep neural network technology allow researchers to develop highly accur…
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
Chen Yu, Bojan Karlas, Jie Zhong +2
AutoML has become a popular service that is provided by most leading cloud service providers today. In this paper, we focus on the AutoML problem from the \emph{service provider's…
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads
Tian Li, Jie Zhong, Ji Liu +2
We present ease.ml, a declarative machine learning service platform we built to support more than ten research groups outside the computer science departments at ETH Zurich for the…
Asynchronous Parallel Empirical Variance Guided Algorithms for the Thresholding Bandit Problem
Jie Zhong, Yijun Huang, Ji Liu
This paper considers the multi-armed thresholding bandit problem -- identifying all arms whose expected rewards are above a predefined threshold via as few pulls (or rounds) as pos…