基本信息
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职业迁徙
个人简介
My current research focuses on the design and analysis of data-driven algorithms using ideas from mathematical optimization. My long-term goal is to discover fundamental principles behind robust and efficient machine learning systems, enabling them to continually learn and adapt in an uncertain and dynamic environment.
I have been working on problems connected to the following research areas:
Calculus of variations, optimization over measures, optimal transport.
Information geometry, variational inference, (Bayesian) deep learning.
Continuous optimization (convex and nonconvex).
I have been working on problems connected to the following research areas:
Calculus of variations, optimization over measures, optimal transport.
Information geometry, variational inference, (Bayesian) deep learning.
Continuous optimization (convex and nonconvex).
研究兴趣
论文共 23 篇作者统计合作学者相似作者
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ICLR 2024 (2024)
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NeurIPS (2023)
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