Sculley, D

1. Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
   2019/06/06 by Yaniv Ovadia, Ovadia, Yaniv, Emily Fertig +15 · 196 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference #Anomaly Detection Techniques and Applications
2. Avoiding a Tragedy of the Commons in the Peer Review Process
   2018/12/18 by D. Sculley, Jasper Snoek, Sculley, D +3 · 3 citations
   Decision Sciences · Medicine · #Computers and Society (cs.CY) #Digital Libraries (cs.DL) #Ethics in Clinical Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #scientometrics and bibliometrics research
3. AutoGraph: Imperative-style Coding with Graph-based Performance
   2018/10/16 by Moldovan, Dan, Decker, James M, Wang, Fei +6 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Programming Languages (cs.PL)