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Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone


Oct 12, 2021
Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon


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Robust Long-Tailed Learning under Label Noise


Aug 26, 2021
Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yu-Feng Li


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Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction


Aug 16, 2021
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning

* 11 pages (2 pages of supplementary), 10 figures, 7 tables. Accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021) 

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AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge


Jul 28, 2021
Zhen Xu, Wei-Wei Tu, Isabelle Guyon

* ECML PKDD 2021 

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Auto-KWS 2021 Challenge: Task, Datasets, and Baselines


Mar 31, 2021
Jingsong Wang, Yuxuan He, Chunyu Zhao, Qijie Shao, Wei-Wei Tu, Tom Ko, Hung-yi Lee, Lei Xie

* 5 pages, 2 figures 

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Online Strongly Convex Optimization with Unknown Delays


Mar 21, 2021
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang


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AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification


Oct 25, 2020
Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie

* 5 pages, 2 figures, Details about AutoSpeech 2020 Challenge 

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Towards AutoML in the presence of Drift: first results


Jul 24, 2019
Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michele Sebag

* AutoML 2018 @ ICML/IJCAI-ECAI 

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Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions


Jun 26, 2019
Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Zhi-Hua Zhou


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Differentiable Neural Architecture Search via Proximal Iterations


May 30, 2019
Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu


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AutoML @ NeurIPS 2018 challenge: Design and Results


Mar 14, 2019
Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang

* Preprint submitted to NeurIPS2018 Volume of Springer Series on Challenges in Machine Learning 

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