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Keyon Vafa
Keyon Vafa
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Title
Cited by
Cited by
Year
Discrete flows: Invertible generative models of discrete data
D Tran, K Vafa, K Agrawal, L Dinh, B Poole
Advances in Neural Information Processing Systems 32, 2019
1162019
Text-based ideal points
K Vafa, S Naidu, DM Blei
arXiv preprint arXiv:2005.04232, 2020
442020
Rationales for sequential predictions
K Vafa, Y Deng, DM Blei, AM Rush
arXiv preprint arXiv:2109.06387, 2021
252021
Training deep Gaussian processes with sampling
K Vafa
NIPS 2016 Workshop on Advances in Approximate Bayesian Inference, 2016
92016
A digital field experiment reveals large effects of friend-to-friend texting on voter turnout
A Schein, K Vafa, D Sridhar, V Veitch, J Quinn, J Moffet, DM Blei, ...
Available at SSRN 3696179, 2020
72020
Training and inference for deep Gaussian processes
K Vafa
72016
Price discrimination in the princeton review’s online sat tutoring service
K Vafa, C Haigh, A Leung, N Yonack
Technology Science 2015090101, 2015
72015
Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections
A Schein, K Vafa, D Sridhar, V Veitch, J Quinn, J Moffet, DM Blei, ...
Proceedings of the Web Conference 2021, 2025-2036, 2021
32021
Decomposing Changes in the Gender Wage Gap over Worker Careers
K Vafa, S Athey, DM Blei
NBER Summer Institute, Boston, MA, 2023
12023
An invariant learning characterization of controlled text generation
C Zheng, C Shi, K Vafa, A Feder, DM Blei
arXiv preprint arXiv:2306.00198, 2023
12023
CAREER: Economic prediction of labor sequence data under distribution shift
K Vafa, E Palikot, T Du, A Kanodia, S Athey, D Blei
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022
12022
CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data
K Vafa, E Palikot, T Du, A Kanodia, S Athey, DM Blei
arXiv preprint arXiv:2202.08370, 2022
12022
Learning Transferrable Representations of Career Trajectories for Economic Prediction
K Vafa, E Palikot, T Du, A Kanodia, S Athey, DM Blei
CoRR, 2022
12022
Lookahead Bias in Pretrained Language Models
SK Sarkar, K Vafa
Available at SSRN, 2024
2024
Revisiting Topic-Guided Language Models
C Zheng, K Vafa, DM Blei
arXiv preprint arXiv:2312.02331, 2023
2023
CAREER: A Foundation Model for Labor Sequence Data
K Vafa, E Palikot, T Du, A Kanodia, S Athey, D Blei
Transactions on Machine Learning Research, 2023
2023
Interpretable Machine Learning for the Social Sciences: Applications in Political Science and Labor Economics
K Vafa
Columbia University, 2023
2023
An Invariant Learning Characterization of Controlled Text Generation
C Shi, C Zheng, K Vafa, A Feder, D Blei
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022
2022
CAREER: Transfer Learning for Economic Prediction of Labor Data
K Vafa, E Palikot, T Du, A Kanodia, S Athey, D Blei
2022
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Articles 1–19