Devon R. Graham

2018201920202021202220235 15 43 36 52 22

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Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairVerified email at cs.ubc.ca
Siamak RavanbakhshAssistant Professor, McGill UniversityVerified email at cs.mcgill.ca
Jason HartfordSenior Machine Learning Research Scientist at Recursion PharmaVerified email at cs.ubc.ca
Brendan LucierMicrosoft ResearchVerified email at microsoft.com
Robert KleinbergDepartment of Computer Science, Cornell UniversityVerified email at cs.cornell.edu

Devon R. Graham

Verified email at cs.ubc.ca


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep models of interactions across sets J Hartford, D Graham, K Leyton-Brown, S Ravanbakhsh International Conference on Machine Learning, 1909-1918, 2018	137	2018
Procrastinating with confidence: Near-optimal, anytime, adaptive algorithm configuration R Kleinberg, K Leyton-Brown, B Lucier, D Graham Advances in Neural Information Processing Systems 32, 2019	23	2019
Equivariant Entity-Relationship Networks D Graham, S Ravanbakhsh arXiv preprint arXiv:1903.09033, 2019	13*	2019
ImpatientCapsAndRuns: Approximately optimal algorithm configuration from an infinite pool G Weisz, A György, WI Lin, D Graham, K Leyton-Brown, C Szepesvari, ... Advances in Neural Information Processing Systems 33, 17478-17488, 2020	3	2020
Formalizing Preferences Over Runtime Distributions DR Graham, K Leyton-Brown, T Roughgarden arXiv preprint arXiv:2205.13028, 2022	1	2022
Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver D Graham, SK Sarraf, T Lundy, A MohammadMehr, S Uppal, TY Lee, ... arXiv preprint arXiv:2003.09761, 2020		2020
Deep learning with exchangeable tensors DR Graham University of British Columbia, 2018		2018
Lecture 14 & 15—Feb 27 & Mar 1, 2018 WE Scribe, D Graham

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