64 citations · 253 across the 34 of their papers we have counts for
3 papers · 1 filter
Contextual Active Model Selection
Xuefeng Liu, Fangfang Xia, Rick L. Stevens +1
While training models and labeling data are resource-intensive, a wealth of pre-trained models and unlabeled data exists. To effectively utilize these resources, we present an appr…
Learning Representation for Bayesian Optimization with Collision-free Regularization
Fengxue Zhang, Brian Nord, Yuxin Chen
Bayesian optimization has been challenged by datasets with large-scale, high-dimensional, and non-stationary characteristics, which are common in real-world scenarios. Recent works…
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
Himabindu Lakkaraju, Dylan Slack, Yuxin Chen +2
As practitioners increasingly deploy machine learning models in critical domains such as health care, finance, and policy, it becomes vital to ensure that domain experts function e…