| Optimal cost almost-sure reachability in POMDPs K Chatterjee, M Chmelik, R Gupta, A Kanodia Artificial Intelligence 234, 26-48, 2016 | 69 | 2016 |
| Qualitative analysis of POMDPs with temporal logic specifications for robotics applications K Chatterjee, M Chmelik, R Gupta, A Kanodia 2015 IEEE International Conference on Robotics and Automation (ICRA), 325-330, 2015 | 68 | 2015 |
| policytree: Policy learning via doubly robust empirical welfare maximization over trees E Sverdrup, A Kanodia, Z Zhou, S Athey, S Wager Journal of Open Source Software 5 (50), 2232, 2020 | 50 | 2020 |
| Welfare effects of personalized rankings R Donnelly, A Kanodia, I Morozov Marketing Science 43 (1), 92-113, 2024 | 15 | 2024 |
| Personalized recommendations in EdTech: evidence from a randomized controlled trial K Agrawal, S Athey, A Kanodia, E Palikot arXiv preprint arXiv:2208.13940, 2022 | 10 | 2022 |
| The long tail effect of personalized rankings R Donnelly, A Kanodia, I Morozov Available at SSRN 3649342, 2021 | 10 | 2021 |
| Biological auctions with multiple rewards JG Reiter, A Kanodia, R Gupta, MA Nowak, K Chatterjee Proceedings of the Royal Society B: Biological Sciences 282 (1812), 20151041, 2015 | 6 | 2015 |
| A unified framework for personalizing product rankings R Donnelly, A Kanodia, I Morozov Available at SSRN, 2020 | 5 | 2020 |
| 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 | 2 | 2022 |
| Qualitative analysis of POMDPs with temporal logic specifications for robotics application s C Krishnendu, C Martin, G Raghav, K Ayush Proc. of the IEEE International Conference on Robotics and Automation (ICRA …, 0 | 2 | |
| Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python T Du, A Kanodia, S Athey arXiv preprint arXiv:2304.01906, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| Learning Transferrable Representations of Career Trajectories for Economic Prediction K Vafa, E Palikot, T Du, A Kanodia, S Athey, DM Blei CoRR, 2022 | 1 | 2022 |
| Deciphering Indian inflationary expectations through text mining: an exploratory approach A Banerjee, A Kanodia, P Ray Indian Economic Review 56 (1), 49-66, 2021 | 1 | 2021 |
| Crowdsourcing Inflationary Expectations through Text Mining: Do the Pink Papers whisper or talk loudly? A Banerjee, A Kanodia, P Ray Indian Finance Association, 2018, 2018 | 1 | 2018 |
| Digital interventions and habit formation in educational technology K Agrawal, S Athey, A Kanodia, E Palikot arXiv preprint arXiv:2310.10850, 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 |
| CAREER: Transfer Learning for Economic Prediction of Labor Data K Vafa, E Palikot, T Du, A Kanodia, S Athey, D Blei | | 2022 |
| Our Rube Goldberg Machine: A CS296 Group 01 Report A Kanodia, B Reddy, P Nalam | | 2013 |
| policytree: Policy learning via doubly robust empirical E Sverdrup, A Kanodia, Z Zhou, S Athey, S Wager | | |
Susan AtheyThe Economics of Technology Professor, Stanford University Graduate School of BusinessVerified email at stanford.edu
