基本信息
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职业迁徙
个人简介
His main research interests are in algorithms and machine learning. A major goal of his work is to understand the tradeoff between statistical efficiency, computational efficiency, and robustness for fundamental problems in statistics and machine learning. Areas of his current interest include high-dimensional robust statistics/learning, nonparametric estimation, and distribution testing. Ilias also has strong interests in applied probability, algorithmic game theory, and their connections to machine learning.
研究兴趣
论文共 209 篇作者统计合作学者相似作者
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arxiv(2024)
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CoRR (2023)
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CoRR (2023)
CoRR (2023): 36541-36577
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D-Core
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