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Bio
My research interests lie at the intersection of Statistics and Machine Learning, focusing mainly on Bayesian optimization. I leverage information-theoretic arguments to provide efficient and reliable hyper-parameter tuning for machine learning systems. My favorite application area is natural language processing (NLP) - where we seek to learn from written and spoken text. Current state-of-the-art NLP systems pose particularly interesting tuning problems, as they can take days (if not weeks!) to train and have many configurable hyper-parameters. I am supervised by David Leslie (Department. of Mathematics and Statistics) and Paul Rayson (School of Computing and Communications).
Research Interests
Papers共 24 篇Author StatisticsCo-AuthorSimilar Experts
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DIGITAL DISCOVERYno. 4 (2024): 654-666
arXiv (Cornell University)pp.5213-5230, (2023)
Victor Picheny, Joel Berkeley,Henry B. Moss, Hrvoje Stojic,Uri Granta,Sebastian W. Ober,Artem Artemev, Khurram Ghani, Alexander Goodall,Andrei Paleyes,Sattar Vakili,Sergio Pascual-Diaz,
CoRR (2023)
Digital discovery (2023)
AISTATSpp.2565-2588, (2023)
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arXiv (Cornell University) (2023)
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