3 papers
cs.DB2020
Understanding the hardness of approximate query processing with joins
Tianyu Liu, Chi Wang
We study the hardness of Approximate Query Processing (AQP) of various types of queries involving joins over multiple tables of possibly different sizes. In the case where the quer…
cs.LG2020
Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The increasing demand for democratizing machine learning algorithms calls for hyperparameter optimization (HPO) solutions at low cost. Many machine learning algorithms have hyperpa…
cs.LG2018
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding +1
A machine learning configuration refers to a combination of preprocessor, learner, and hyperparameters. Given a set of configurations and a large dataset randomly split into traini…