基本信息
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职业迁徙
个人简介
Research: My research focuses on theoretical foundations of Machine Learning and their interplay with Statistics & High-Dimensional Probability, Optimization and Computational Complexity. Currently, I am interested in questions regarding the following topics:
Reliable Machine Learning, where we seek to understand how to perform statistical analysis from biased and corrupted data (Robust ML) and how to design algorithms satisfying societal desiderata such as privacy and reproducibility (Responsible ML).
Statistical Learning Theory, where we want to understand the statistical limits of natural ML tasks.
Statistical-Computational Trade-offs, where we aim to detect gaps in high-dimensional problems between what is achievable statistically and what is achievable with known computationally efficient algorithms.
Complexity of Optimization, where we study the optimization landscape of important Deep Learning problems and aim to discover algorithmic barriers for such tasks.
Reliable Machine Learning, where we seek to understand how to perform statistical analysis from biased and corrupted data (Robust ML) and how to design algorithms satisfying societal desiderata such as privacy and reproducibility (Responsible ML).
Statistical Learning Theory, where we want to understand the statistical limits of natural ML tasks.
Statistical-Computational Trade-offs, where we aim to detect gaps in high-dimensional problems between what is achievable statistically and what is achievable with known computationally efficient algorithms.
Complexity of Optimization, where we study the optimization landscape of important Deep Learning problems and aim to discover algorithmic barriers for such tasks.
研究兴趣
论文共 19 篇作者统计合作学者相似作者
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期刊级别
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CoRR (2024)
引用0浏览0EI引用
0
0
arxiv(2024)
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arxiv(2023)
引用5浏览0EI引用
5
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CoRR (2023): 5:1-5:24
CoRR (2023): 15586-15622
引用12浏览0EI引用
12
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