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Diane Lambert
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2010 – 2019
- 2016
- [c8]Guillaume W. Basse, Hossein Azari Soufiani, Diane Lambert:
Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments. AISTATS 2016: 1412-1420 - [i1]Guillaume W. Basse, Hossein Azari Soufiani, Diane Lambert:
Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments. CoRR abs/1605.09171 (2016) - 2014
- [c7]Yunting Sun, Diane Lambert, Makoto Uchida, Nicolas Remy:
Collaboration in the cloud at Google. WebSci 2014: 239-240 - 2010
- [c6]David Chan, Rong Ge, Ori Gershony, Tim Hesterberg, Diane Lambert:
Evaluating online ad campaigns in a pipeline: causal models at scale. KDD 2010: 7-16
2000 – 2009
- 2008
- [c5]Diane Lambert, Daryl Pregibon:
Online effects of offline ads. AdKDD@KDD 2008: 10-17 - 2007
- [j3]Diane Lambert, Daryl Pregibon:
More bang for their bucks: assessing new features for online advertisers. SIGKDD Explor. 9(2): 100-107 (2007) - [j2]Aiyou Chen, Cristina Harko, Diane Lambert, Phil Whiting:
An algorithm for fast, model-free tracking indoors. ACM SIGMOBILE Mob. Comput. Commun. Rev. 11(3): 48-58 (2007) - [j1]Arumugam Buvaneswari, John M. Graybeal, David A. James, Diane Lambert, Chuanhai Liu, Michael MacDonald:
A Statistical View of the Transient Signals That Support a Wireless Call. Technometrics 49(3): 305-317 (2007) - [c4]Diane Lambert, Daryl Pregibon:
More bang for their bucks: assessing new features for online advertisers. AdKDD@KDD 2007: 7-15 - 2006
- [e1]Joydeep Ghosh, Diane Lambert, David B. Skillicorn, Jaideep Srivastava:
Proceedings of the Sixth SIAM International Conference on Data Mining, April 20-22, 2006, Bethesda, MD, USA. SIAM 2006, ISBN 978-0-89871-611-5 [contents] - 2001
- [c3]Diane Lambert, José C. Pinheiro:
Mining a stream of transactions for customer patterns. KDD 2001: 305-310 - 2000
- [c2]Diane Lambert:
What Use is Statistics for Massive Data? ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 54-62 - [c1]Fei Chen, Diane Lambert, José C. Pinheiro:
Incremental quantile estimation for massive tracking. KDD 2000: 516-522
Coauthor Index
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