5 citations · 14 across the 4 of their papers we have counts for
4 papers
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints
Yao Yao, Qihang Lin, Tianbao Yang
As machine learning being used increasingly in making high-stakes decisions, an arising challenge is to avoid unfair AI systems that lead to discriminatory decisions for protected…
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems
Yao Yao, Bin Liu, Haoxun He +4
Input features play a crucial role in DNN-based recommender systems with thousands of categorical and continuous fields from users, items, contexts, and interactions. Noisy feature…
Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao, Qihang Lin, Tianbao Yang
The area under the ROC curve (AUC) is one of the most widely used performance measures for classification models in machine learning. However, it summarizes the true positive rates…
CLS: Cross Labeling Supervision for Semi-Supervised Learning
Yao Yao, Junyi Shen, Jin Xu +2
It is well known that the success of deep neural networks is greatly attributed to large-scale labeled datasets. However, it can be extremely time-consuming and laborious to collec…