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Lumos: A Library for Diagnosing Metric Regressions in Web-Scale
  Applications

Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications

23 June 2020
Jamie Pool
Ebrahim Beyrami
Vishak Gopal
A. Aazami
J. Gupchup
Jeff Rowland
Binlong Li
Pritesh Kanani
Ross Cutler
J. Gehrke
ArXiv (abs)PDFHTML

Papers citing "Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications"

6 / 6 papers shown
Title
Time-Series Anomaly Detection Service at Microsoft
Time-Series Anomaly Detection Service at Microsoft
Hansheng Ren
Bixiong Xu
Yujing Wang
Chao Yi
Congrui Huang
Xiaoyu Kou
Tony Xing
Mao Yang
Jie Tong
Qi Zhang
AI4TS
64
504
0
10 Jun 2019
Auto-Keras: An Efficient Neural Architecture Search System
Auto-Keras: An Efficient Neural Architecture Search System
Haifeng Jin
Qingquan Song
Helen Zhou
124
811
0
27 Jun 2018
Interpretable Predictions of Tree-based Ensembles via Actionable Feature
  Tweaking
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking
Gabriele Tolomei
Fabrizio Silvestri
Andrew Haines
M. Lalmas
64
209
0
20 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017
Evaluation of a Tree-based Pipeline Optimization Tool for Automating
  Data Science
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Randal S. Olson
Nathan Bartley
Ryan J. Urbanowicz
J. Moore
63
530
0
20 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,071
0
16 Feb 2016
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