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Conference and Workshop Papers
- 2023
[c5]Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee:
Generalized Causal Tree for Uplift Modeling. IEEE Big Data 2023: 788-798- 2021
- [c4]Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar, Shaunak Chatterjee:
Personalized Treatment Selection using Causal Heterogeneity. WWW 2021: 1574-1585 - 2020
- [c3]Preetam Nandy, Kinjal Basu, Shaunak Chatterjee, Ye Tu:
A/B Testing in Dense Large-Scale Networks: Design and Inference. NeurIPS 2020 - 2019
- [c2]Myat Aung, Simon Demediuk, Yuan Sun, Ye Tu, Yu Ang, Siva Nekkanti, Shantanu Raghav, Diego Klabjan, Rafet Sifa, Anders Drachen
:
The trails of Just Cause 2: spatio-temporal player profiling in open-world games. FDG 2019: 41:1-41:11 - [c1]Ye Tu, Chun Lo, Yiping Yuan, Shaunak Chatterjee:
Feedback Shaping: A Modeling Approach to Nurture Content Creation. KDD 2019: 2241-2250
Informal and Other Publications
- 2021
- [i2]Ye Tu, Chun Lo, Yiping Yuan, Shaunak Chatterjee:
Feedback Shaping: A Modeling Approach to Nurture Content Creation. CoRR abs/2106.11312 (2021) - 2019
- [i1]Ye Tu, Kinjal Basu, Jinyun Yan, Birjodh Tiwana, Shaunak Chatterjee:
Personalization and Optimization of Decision Parameters via Heterogenous Causal Effects. CoRR abs/1901.10550 (2019)
Coauthor Index
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