D. Sculley
Jump to navigation
Jump to search
D. Sculley is a person.
References
2020
- (D'Amour et al., 2020) ⇒ Alexander D'Amour, Katherine Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yian Ma, Cory McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, and D. Sculley. (2020). “Underspecification Presents Challenges for Credibility in Modern Machine Learning.” arXiv:2011.03395
2017
- (Breck et al., 2017) ⇒ Eric Breck, Shanqing Cai, Eric Nielsen, Michael Salib, and D. Sculley. (2017). “The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction.” In: The Proceedings of the 2017 IEEE International Conference on Big Data (Big Data).
2015
- (Sculley et al., 2015) ⇒ D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-Francois Crespo, and Dan Dennison. (2015). “Hidden Technical Debt in Machine Learning Systems.” In: Proceedings of the 28th International Conference on Neural Information Processing Systems.
2013
- (McMahan et al., 2013) ⇒ H. Brendan McMahan, Gary Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, and Jeremy Kubica. (2013). “Ad Click Prediction: A View from the Trenches.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2488200
2009
- (Sculley et al., 2009) ⇒ D. Sculley, Robert G. Malkin, Sugato Basu, and Roberto J. Bayardo. (2009). “Predicting Bounce Rates in Sponsored Search Advertisements.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557161