| Causal strategic linear regression Y Shavit, B Edelman, B Axelrod International Conference on Machine Learning, 8676-8686, 2020 | 75* | 2020 |
| Frontier AI regulation: Managing emerging risks to public safety M Anderljung, J Barnhart, J Leung, A Korinek, C O'Keefe, J Whittlestone, ... arXiv preprint arXiv:2307.03718, 2023 | 38 | 2023 |
| Learning augmented joint-space task-oriented dynamical systems: A linear parameter varying and synergetic control approach Y Shavit, N Figueroa, SSM Salehian, A Billard IEEE Robotics and Automation Letters 3 (3), 2718-2725, 2018 | 27 | 2018 |
| What does it take to catch a Chinchilla? Verifying rules on large-scale neural network training via compute monitoring Y Shavit arXiv preprint arXiv:2303.11341, 2023 | 19 | 2023 |
| Frontier AI Regulation: Managing Emerging Risks to Public Safety.” arXiv M Anderljung, J Barnhart, A Korinek, J Leung, C O’Keefe, J Whittlestone, ... arXiv preprint arXiv:2307.03718, 2023 | 6 | 2023 |
| Extracting incentives from black-box decisions Y Shavit, WS Moses arXiv preprint arXiv:1910.05664, 2019 | 6 | 2019 |
| Tools for Verifying Neural Models' Training Data D Choi, Y Shavit, DK Duvenaud Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Practices for Governing Agentic AI Systems Y Shavit, S Agarwal, M Brundage, S Adler, C O’Keefe, R Campbell, T Lee, ... Research Paper, OpenAI, December, 2023 | 5 | 2023 |
| Robots on demand: A democratized robotics research cloud V Dean, YG Shavit, A Gupta Conference on Robot Learning, 1769-1775, 2022 | 3 | 2022 |
| Controlled direct effect priors for bayesian neural networks J Du, AS Ross, Y Shavit, F Doshi-Velez NeurIPS Bayesian deep learning workshop, 2019 | 1 | 2019 |
| Exploring the use of lipschitz neural networks for automating the design of differentially private mechanisms Y Shavit, B Gjura Technical report, Technical Report, 2019 | 1 | 2019 |
| Structuring Incentives in the Development and Use of Artificial Intelligence YG Shavit | | 2024 |
| Learning environment simulators from sparse signals YG Shavit Massachusetts Institute of Technology, 2017 | | 2017 |
| Supplement to “Causal Strategic Linear Regression” Y Shavit, BL Edelman, B Axelrod | | |
