Objecting to experiments that compare two unobjectionable policies or treatments MN Meyer, PR Heck, GS Holtzman, SM Anderson, W Cai, DJ Watts, ... Proceedings of the National Academy of Sciences 116 (22), 10723-10728, 2019 | 84 | 2019 |
Bandit algorithms to personalize educational chatbots W Cai, J Grossman, ZJ Lin, H Sheng, JTZ Wei, JJ Williams, S Goel Machine Learning 110 (9), 2389-2418, 2021 | 55* | 2021 |
Fair allocation through selective information acquisition W Cai, J Gaebler, N Garg, S Goel Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 22-28, 2020 | 32 | 2020 |
A causal framework for observational studies of discrimination J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill Statistics and public policy 9 (1), 26-48, 2022 | 31 | 2022 |
Adaptive sampling strategies to construct equitable training datasets W Cai, R Encarnacion, B Chern, S Corbett-Davies, M Bogen, S Bergman, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 27 | 2022 |
Deconstructing claims of post-treatment bias in observational studies of discrimination J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill arXiv preprint arXiv:2006.12460, 2020 | 10 | 2020 |
Measuring racial and ethnic disparities in traffic enforcement with large-scale telematics data W Cai, J Gaebler, J Kaashoek, L Pinals, S Madden, S Goel PNAS nexus 1 (4), pgac144, 2022 | 6 | 2022 |
Reply to Mislavsky et al.: Sometimes people really are averse to experiments MN Meyer, PR Heck, GS Holtzman, SM Anderson, W Cai, DJ Watts, ... Proceedings of the National Academy of Sciences 116 (48), 23885-23886, 2019 | 6 | 2019 |
Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions ER Antoniuk, G Cheon, G Wang, D Bernstein, W Cai, EJ Reed npj Computational Materials 9 (1), 155, 2023 | 3 | 2023 |
Experience-Driven Peer Effects: Evidence from a Large Natural Experiment W Cai, J Ugander Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021 | 1 | 2021 |
Under confounding, KLM conditions are not necessary for consistency (Version 2) J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill | 1 | 2020 |
Towards Equity in Algorithmic Decision Making W Cai Stanford University, 2022 | | 2022 |
Under confounding, KLM conditions are not necessary for consistency J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill | | 2020 |
Survey of Healthcare Providers PR Heck, M Meyer, CF Chabris, G Holtzman, DJ Watts, W Cai, ... OSF, 2018 | | 2018 |
Solving the Camouflage Object Segmentation Problem with Multitask-Learning and MAML Augmented SINet W Cai, X Zhang | | |
Building A Robust QA System For IID SQuAD Using Coattention, Self-Attention, and Answer Pointer Network M Dewidar, G Wang, W Cai | | |
SeeGull: Sea Gull Path Predictions in the Canadian and Alaskan Regions W Cai, H Chinchinian, R Tran | | |
CITRUSAFE Mathematical Modeling W Cai, M Czeneszew | | |
Optimizing Positive-Unlabeled Learning Method in Inorganic Material Synthesizability Prediction Through Hyperparameter Tuning W Cai | | |