Ye Tu
Ye Tu
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A/B testing in dense large-scale networks: design and inference
P Nandy, K Basu, S Chatterjee, Y Tu
Advances in Neural Information Processing Systems 33, 2870-2880, 2020
The trails of just cause 2: spatio-temporal player profiling in open-world games
M Aung, S Demediuk, Y Sun, Y Tu, Y Ang, S Nekkanti, S Raghav, ...
Proceedings of the 14th International Conference on the Foundations of …, 2019
Personalized treatment selection using causal heterogeneity
Y Tu, K Basu, C DiCiccio, R Bansal, P Nandy, P Jaikumar, S Chatterjee
Proceedings of the Web Conference 2021, 1574-1585, 2021
Feedback shaping: A modeling approach to nurture content creation
Y Tu, C Lo, Y Yuan, S Chatterjee
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Causal inference from observational data: Estimating the effect of contributions on visitation frequency atlinkedin
I Bojinov, Y Tu, M Liu, Y Xu
arXiv preprint arXiv:1903.07755, 2019
Incenting online content creation using machine learning
Y Tu, Y Yuan, C Lo, S Chatterjee, Y Wang
US Patent 10,769,227, 2020
Generalized causal tree for uplift modeling
P Nandy, X Yu, W Liu, Y Tu, K Basu, S Chatterjee
2023 IEEE International Conference on Big Data (BigData), 788-798, 2023
Personalize and optimize decision parameters using heterogeneous effects
Y Tu, K Basu, J Yan, S Chatterjee, BS Tiwana
US Patent App. 16/370,224, 2020
Low variance estimation of network effects
K Basu, S Chatterjee, A Muralidharan, Y Tu
US Patent App. 16/145,024, 2020
Personalization and optimization of decision parameters via heterogenous causal effects
Y Tu, K Basu, J Yan, B Tiwana, S Chatterjee
arXiv preprint arXiv:1901.10550, 2019
Deep embedding learning models with mimicry effect
Y Sun, Y Tu, Y Han, C Lo, S Chatterjee, V Gulati
US Patent App. 17/556,218, 2023
Machine learning techniques to nurture content creation
C Lo, E De Longueau, A Saha, S Chatterjee, Y Tu
US Patent 11,537,911, 2022
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