基本信息
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个人简介
I’m led a team focusing on methodological improvements of the experimentation platform as well as tackling the related engineering challenges. My team’s and my works span the area of causal inference and online experimentation, Bayesian optimization, reinforcement learning, auto Machine Learning, recommender systems, high throughput distributed computing, compiler and data analysis pipelines. In Azure Machine Learning, my team represented 1st party data and ML scientist experience of the product, and worked on large scale distributed training, auto machine learning, ML pipeline and product analytics.
研究兴趣
论文共 40 篇作者统计合作学者相似作者
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arxiv(2023)
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arxiv(2023)
KDDpp.3937-3946, (2023)
Thu Le,Alex Deng
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Managementpp.4681-4687, (2023)
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Thu Le,Alex Deng
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.4681-4687, (2023)
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)
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D-Core
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