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Rich Caruana
Senior Researcher
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Bio
Most of my research is in data mining and machine learning, and the application of these to problems in medicine, ecology, and microprocessor design. I do work on inductive transfer (a.k.a. multitask learning), ensemble learning, probabilistic prediction, model compression, and regression. In general, I like to work on real problems, and develop new learning methods by abstracting what is required to achieve good performance on those problems.
Papers136 papers
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KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Virtual Event..., pp.3511-3512, (2020)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 10122-10131
KDD, (2019)
CHI, pp.579, (2019)
AISTATS, pp.2402-2412, (2019)
AIES, pp.131-138, (2019)
international conference on learning representations, (2019)
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arXiv: Machine Learning, (2018)
Bibtex
AIES, pp.303-310, (2018)
KDD, pp.2279-2288, (2018)
CoRR, (2018)
arXiv: Machine Learning, (2017)
Bibtex
arXiv: Artificial Intelligence, (2017)
AAAI, pp.2124-2132, (2017)
arXiv: Machine Learning, (2017)
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