Researcher interests: The focus of my research is the foundation of machine learning.
FACULTY / SCHOOL: School of Computer Science and Engineering
DEPARTMENT: Computer Science
Selected Publications
the implicit bias of depth how incremental learning drives generalization (2020)|
ICLR 2020 : Eighth International Conference on Learning Representations|
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generalization bounds for neural networks via approximate description length (2019)|
NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems|
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locally private learning without interaction requires separation (2019)|
NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems|
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locally private learning without interaction requires separation (2019)|
arXiv: Learning|
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generalization bounds for neural networks via approximate description length (2019)|
arXiv preprint arXiv:1910.05697|
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open problem is margin sufficient for non interactive private distributed learning (2019)|
Conference on Learning Theory|
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learning rules first classifiers (2019)|
arXiv: Learning|
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learning rules first classifiers (2019)|
The 22nd International Conference on Artificial Intelligence and Statistics|
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competitive ratio versus regret minimization achieving the best of both worlds (2019)|
arXiv preprint arXiv:1904.03602|
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competitive ratio vs regret minimization achieving the best of both worlds (2019)|
Algorithmic Learning Theory|
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learning with rules (2018)|
arXiv preprint arXiv:1803.03155|
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