Karl Krauth

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20152016201720182019202020211 2 3 14 78 176 21

Qifan PuUniversity of California, BerkeleyVerified email at cs.berkeley.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Vaishaal ShankarAmazonVerified email at amazon.com
Vikram SreekantiUC BerkeleyVerified email at berkeley.edu
Anurag KhandelwalAssistant ProfessorVerified email at yale.edu
Johann Schleier-SmithUC BerkeleyVerified email at berkeley.edu
João CarreiraUC BerkeleyVerified email at berkeley.edu
Neeraja J. YadwadkarPostdoctoral Research Fellow, Stanford UniversityVerified email at eecs.berkeley.edu
Eric JonasAssistant Professor, UChicago CSVerified email at uchicago.edu
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61Verified email at data61.csiro.au
Raluca Ada PopaProfessor of computer science, UC BerkeleyVerified email at berkeley.edu
David PattersonProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Jonathan Ragan-KelleyMIT CSAILVerified email at mit.edu
Shivaram VenkataramanUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Maurizio FilipponeAssociate Professor - EURECOMVerified email at eurecom.fr
Kurt CutajarAmazonVerified email at amazon.com
Amir DezfouliData61, CSIROVerified email at data61.csiro.au
Stephen TuGoogleVerified email at google.com
Ludwig SchmidtToyota Research and University of WashingtonVerified email at cs.washington.edu

Karl Krauth

PhD student, UC Berkeley

Verified email at berkeley.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Cloud programming simplified: A berkeley view on serverless computing E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ... arXiv preprint arXiv:1902.03383, 2019	185	2019
AutoGP: Exploring the capabilities and limitations of Gaussian process models K Krauth, EV Bonilla, K Cutajar, M Filippone Conference for Uncertainty in Artificial intelligence (UAI), 2016	45	2016
Serverless linear algebra V Shankar, K Krauth, K Vodrahalli, Q Pu, B Recht, I Stoica, ... Proceedings of the 11th ACM Symposium on Cloud Computing, 281-295, 2020	25*	2020
Finite-time analysis of approximate policy iteration for the linear quadratic regulator K Krauth, S Tu, B Recht arXiv preprint arXiv:1905.12842, 2019	14	2019
Generic Inference in Latent Gaussian Process Models. EV Bonilla, K Krauth, A Dezfouli Journal of Machine Learning Research 20 (117), 1-63, 2019	14	2019
The Effect of Natural Distribution Shift on Question Answering Models J Miller, K Krauth, B Recht, L Schmidt International Conference on Machine Learning, 2020	12	2020
Exploration in two-stage recommender systems J Hron, K Krauth, MI Jordan, N Kilbertus arXiv preprint arXiv:2009.08956, 2020	1	2020
Do Offline Metrics Predict Online Performance in Recommender Systems? K Krauth, S Dean, A Zhao, W Guo, M Curmei, B Recht, MI Jordan arXiv preprint arXiv:2011.07931, 2020		2020

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