Web-scale k-means clustering

D. Sculley

Cluster ComputingEngineeringMachine LearningUnsupervised Machine LearningText Mining +14

Ad click prediction

H. Brendan McMahan, Gary D. Holt, D. Sculley, +13

EngineeringMachine LearningTargeted AdvertisingAd Click-through RatesInformation Retrieval +17

Hidden technical debt in Machine learning systems

D. Sculley, Gary D. Holt, Daniel Golovin, +7

Neural Information Processing Systems

Artificial IntelligenceSoftware MaintenanceEngineeringMachine LearningPowerful Toolkit +15

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Yaniv Ovadia, Emily Fertig, Jie Ren, +6

arXiv (Cornell University)

Dataset ShiftMachine LearningEngineeringMachine Learning ToolUncertain Data +22

Google Vizier

Daniel Golovin, Benjamin Solnik, Subhodeep Moitra, +3

Artificial IntelligenceHyperparameter EstimationEngineeringMachine LearningData Science +11

Underspecification Presents Challenges for Credibility in Modern Machine Learning

Alexander D’Amour, Katherine Heller, Dan Moldovan, +37

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningModern Ml PipelinesMachine Learning Tool +15

Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift

Yaniv Ovadia, Emily Fertig, Jie Ren, +6

arXiv (Cornell University)

Dataset ShiftMachine LearningEngineeringMachine Learning ToolUncertain Data +22

Using deep learning to annotate the protein universe

Maxwell L. Bileschi, David Belanger, Drew Bryant, +6

Nature Biotechnology

EngineeringNatural SciencesComputational BiologyMolecular BiologyProtein Modeling +5

The ML test score: A rubric for ML production readiness and technical debt reduction

Eric Breck, Shanqing Cai, Eric Nielsen, +2

Artificial IntelligenceSoftware MaintenanceEngineeringMachine LearningMachine Learning Tool +24

Relaxed online SVMs for spam filtering

D. Sculley, Gabriel Wachman

EngineeringMachine LearningText MiningNatural Language ProcessingSpam Filtering +14