22 citations · 40 across the 7 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 7 cited
Deep Multi-Fidelity Active Learning of High-dimensional Outputs
Shibo Li, Robert M. Kirby, Shandian Zhe
Many applications, such as in physical simulation and engineering design, demand we estimate functions with high-dimensional outputs. The training examples can be collected with di…
cs.IR2020★ 6 cited
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
Tao Yang, Shikai Fang, Shibo Li +2
Leveraging biased click data for optimizing learning to rank systems has been a popular approach in information retrieval. Because click data is often noisy and biased, a variety o…
cs.LG2020★ 22 cited
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
Shibo Li, Wei Xing, Mike Kirby +1
Bayesian optimization (BO) is a popular framework to optimize black-box functions. In many applications, the objective function can be evaluated at multiple fidelities to enable a…