| Online controlled experiments at large scale R Kohavi, A Deng, B Frasca, T Walker, Y Xu, N Pohlmann Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 491 | 2013 |
| Trustworthy online controlled experiments: Five puzzling outcomes explained R Kohavi, A Deng, B Frasca, R Longbotham, T Walker, Y Xu Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 282 | 2012 |
| Seven rules of thumb for web site experimenters R Kohavi, A Deng, R Longbotham, Y Xu Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 237 | 2014 |
| Improving the sensitivity of online controlled experiments by utilizing pre-experiment data A Deng, Y Xu, R Kohavi, T Walker Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 213 | 2013 |
| Top challenges from the first practical online controlled experiments summit S Gupta, R Kohavi, D Tang, Y Xu, R Andersen, E Bakshy, N Cardin, ... ACM SIGKDD Explorations Newsletter 21 (1), 20-35, 2019 | 114 | 2019 |
| Data-driven metric development for online controlled experiments: Seven lessons learned A Deng, X Shi Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 96 | 2016 |
| Continuous monitoring of A/B tests without pain: Optional stopping in Bayesian testing A Deng, J Lu, S Chen 2016 IEEE International conference on data science and advanced analytics …, 2016 | 90 | 2016 |
| A/b testing with fat tails EM Azevedo, A Deng, JL Montiel Olea, J Rao, EG Weyl Journal of Political Economy 128 (12), 4614-000, 2020 | 89* | 2020 |
| Objective bayesian two sample hypothesis testing for online controlled experiments A Deng Proceedings of the 24th International Conference on World Wide Web, 923-928, 2015 | 54 | 2015 |
| Trustworthy analysis of online A/B tests: Pitfalls, challenges and solutions A Deng, J Lu, J Litz Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 46 | 2017 |
| A note on Type S/M errors in hypothesis testing J Lu, Y Qiu, A Deng British Journal of Mathematical and Statistical Psychology 72 (1), 1-17, 2019 | 43 | 2019 |
| Applying the Delta method in metric analytics: A practical guide with novel ideas A Deng, U Knoblich, J Lu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 39 | 2018 |
| Statistical challenges in online controlled experiments: A review of a/b testing methodology N Larsen, J Stallrich, S Sengupta, A Deng, R Kohavi, NT Stevens The American Statistician 78 (2), 135-149, 2024 | 36 | 2024 |
| Diluted treatment effect estimation for trigger analysis in online controlled experiments A Deng, V Hu Proceedings of the Eighth ACM International Conference on Web Search and …, 2015 | 31 | 2015 |
| Statistical inference in two-stage online controlled experiments with treatment selection and validation A Deng, T Li, Y Guo Proceedings of the 23rd international conference on World Wide Web, 609-618, 2014 | 30 | 2014 |
| A/B testing intuition busters: Common misunderstandings in online controlled experiments R Kohavi, A Deng, L Vermeer Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 22 | 2022 |
| Concise summarization of heterogeneous treatment effect using total variation regularized regression A Deng, P Zhang, S Chen, DW Kim, J Lu arXiv preprint arXiv:1610.03917, 2016 | 22 | 2016 |
| A/B testing at scale: Accelerating software innovation A Deng, P Dmitriev, S Gupta, R Kohavi, P Raff, L Vermeer Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 19 | 2017 |
| Sequential importance sampling and resampling for dynamic portfolio credit risk S Deng, K Giesecke, TL Lai Operations research 60 (1), 78-91, 2012 | 19 | 2012 |
| Empirical bayes estimation of treatment effects with many a/b tests: An overview EM Azevedo, A Deng, JL Montiel Olea, EG Weyl AEA Papers and Proceedings 109, 43-47, 2019 | 18 | 2019 |
Ron KohaviTechnical Fellow and Vice President, Analysis and Experimentation, MicrosoftE-mail confirmado em microsoft.com
