基本信息
浏览量:225
职业迁徙
个人简介
I’m generally interested in theoretically understanding and developing tools in machine learning and statistics that work well. Currently I am particularly curious about gaining theoretical understanding for the generalization properties of overparameterized models for high-dimensional data (motivated by neural networks), as well as a plethora of questions related to obtaining more trustworthy ML models, specifically distributional robustness, domain generalization and interpretability.
For the latter branch of questions I’m particularly excited about problems in the medical domain - hence if you’re facing concrete reliability issues when using ML for medical diagnostics or treatment, please don’t hesitate to ping me.
For the latter branch of questions I’m particularly excited about problems in the medical domain - hence if you’re facing concrete reliability issues when using ML for medical diagnostics or treatment, please don’t hesitate to ping me.
研究兴趣
论文共 47 篇作者统计合作学者相似作者
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引用量
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期刊级别
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Oberwolfach Reportsno. 3 (2024): 2359-2376
CoRR (2024)
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arXiv (Cornell University)pp.1396-1404, (2024)
ICML 2024 (2024)
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0
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International Conference on Algorithmic Learning Theorypp.1055-1112, (2024)
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IEEE CONFERENCE ON SAFE AND TRUSTWORTHY MACHINE LEARNING, SATML 2024pp.110-139, (2024)
CoRR (2024)
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Daniil Dmitriev,Rares-Darius Buhai,Stefan Tiegel, Alexander Wolters,Gleb Novikov,Amartya Sanyal,David Steurer,Fanny Yang
CoRR (2024)
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CoRR (2023)
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作者统计
#Papers: 47
#Citation: 1078
H-Index: 14
G-Index: 32
Sociability: 4
Diversity: 0
Activity: 1
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