Alex Deng

According to our database, Alex Deng authored at least 20 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering.

Alex Deng, Lo-Hua Yuan, Naoya Kanai, Alexandre Salama-Manteau

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes.

Alex Deng, Michelle Du, Anna Matlin, Qing Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods.

Thu Le, Alex Deng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Continuous Attribution of Episodical Outcomes for More Efficient and Targeted Online Measurement.

Alex Deng, Michelle Du, Anna Matlin

CoRR, 2022

A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled Experiments.

Ron Kohavi, Alex Deng, Lukas Vermeer

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

On Post-selection Inference in A/B Testing.

Alex Deng, Yicheng Li, Jiannan Lu, Vivek Ramamurthy

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

A/B Testing at Scale: Accelerating Software Innovation.

Somit Gupta, Ronny Kohavi, Alex Deng, Jeff Omhover, Pawel Janowski

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

2018

The A/B Testing Problem.

Eduardo M. Azevedo, Alex Deng, Jose Luis Montiel Olea, Justin Rao, E. Glen Weyl

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Applying the Delta Method in Metric Analytics: A Practical Guide with Novel Ideas.

Alex Deng, Ulf Knoblich, Jiannan Lu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions.

Alex Deng, Jiannan Lu, Jonthan Litz

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

A/B Testing at Scale: Accelerating Software Innovation.

Alex Deng, Pavel A. Dmitriev, Somit Gupta, Ron Kohavi, Paul Raff, Lukas Vermeer

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned.

Alex Deng, Xiaolin Shi

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing.

Alex Deng, Jiannan Lu, Shouyuan Chen

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Objective Bayesian Two Sample Hypothesis Testing for Online Controlled Experiments.

Alex Deng

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments.

Alex Deng, Victor Hu

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

2014

Statistical inference in two-stage online controlled experiments with treatment selection and validation.

Alex Deng, Tianxi Li, Yu Guo

Proceedings of the 23rd International World Wide Web Conference, 2014

Seven rules of thumb for web site experimenters.

Ron Kohavi, Alex Deng, Roger Longbotham, Ya Xu

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Improving the sensitivity of online controlled experiments by utilizing pre-experiment data.

Alex Deng, Ya Xu, Ron Kohavi, Toby Walker

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Online controlled experiments at large scale.

Ron Kohavi, Alex Deng, Brian Frasca, Toby Walker, Ya Xu, Nils Pohlmann

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Trustworthy online controlled experiments: five puzzling outcomes explained.

Ron Kohavi, Alex Deng, Brian Frasca, Roger Longbotham, Toby Walker, Ya Xu

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012