| Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature medicine 25 (1), 16-18, 2019 | 110 | 2019 |
| Science with a wide-field UV transient explorer I Sagiv, A Gal-Yam, EO Ofek, E Waxman, O Aharonson, SR Kulkarni, ... The Astronomical Journal 147 (4), 79, 2014 | 61 | 2014 |
| Nonmonotonic aging and memory retention in disordered mechanical systems Y Lahini, O Gottesman, A Amir, SM Rubinstein Physical review letters 118 (8), 085501, 2017 | 52 | 2017 |
| Evaluating reinforcement learning algorithms in observational health settings O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018 | 40 | 2018 |
| Representation balancing mdps for off-policy policy evaluation Y Liu, O Gottesman, A Raghu, M Komorowski, A Faisal, F Doshi-Velez, ... arXiv preprint arXiv:1805.09044, 2018 | 38 | 2018 |
| Improving sepsis treatment strategies by combining deep and kernel-based reinforcement learning X Peng, Y Ding, D Wihl, O Gottesman, M Komorowski, LH Lehman, ... AMIA Annual Symposium Proceedings 2018, 887, 2018 | 25 | 2018 |
| Multiple extinction routes in stochastic population models O Gottesman, B Meerson Physical Review E 85 (2), 021140, 2012 | 25 | 2012 |
| Behaviour policy estimation in off-policy policy evaluation: Calibration matters A Raghu, O Gottesman, Y Liu, M Komorowski, A Faisal, F Doshi-Velez, ... arXiv preprint arXiv:1807.01066, 2018 | 16 | 2018 |
| A state variable for crumpled thin sheets O Gottesman, J Andrejevic, CH Rycroft, SM Rubinstein Communications Physics 1 (1), 1-7, 2018 | 15 | 2018 |
| Combining parametric and nonparametric models for off-policy evaluation O Gottesman, Y Liu, S Sussex, E Brunskill, F Doshi-Velez arXiv preprint arXiv:1905.05787, 2019 | 12 | 2019 |
| On the incompressibility of cylindrical origami patterns F Bös, M Wardetzky, E Vouga, O Gottesman Journal of Mechanical Design 139 (2), 2017 | 10 | 2017 |
| Furrows in the wake of propagating d-cones O Gottesman, E Efrati, SM Rubinstein Nature communications 6 (1), 1-7, 2015 | 8 | 2015 |
| Interpretable off-policy evaluation in reinforcement learning by highlighting influential transitions O Gottesman, J Futoma, Y Liu, S Parbhoo, L Celi, E Brunskill, ... International Conference on Machine Learning, 3658-3667, 2020 | 5 | 2020 |
| Improving counterfactual reasoning with kernelised dynamic mixing models S Parbhoo, O Gottesman, AS Ross, M Komorowski, A Faisal, I Bon, ... PloS one 13 (11), e0205839, 2018 | 5 | 2018 |
| Weighted tensor decomposition for learning latent variables with partial data O Gottesman, W Pan, F Doshi-Velez International Conference on Artificial Intelligence and Statistics, 1664-1672, 2018 | 2 | 2018 |
| Learning to search efficiently for causally near-optimal treatments S Håkansson, V Lindblom, O Gottesman, FD Johansson arXiv preprint arXiv:2007.00973, 2020 | 1 | 2020 |
| Localized patterns in crushed conical shells O Gottesman, E Vouga, SM Rubinstein, L Mahadevan EPL (Europhysics Letters) 124 (1), 14005, 2018 | 1 | 2018 |
| Off-Policy Evaluation of Reinforcement Learning in Healthcare O Gottesman Harvard University, 2020 | | 2020 |
| A general method for regularizing tensor decomposition methods via pseudo-data O Gottesman, W Pan, F Doshi-Velez arXiv preprint arXiv:1905.10424, 2019 | | 2019 |
| Erratum:“Science With a Wide-Field UV Transient Explorer”(2014, AJ, 147, 79) I Sagiv, A Gal-Yam, EO Ofek, E Waxman, O Aharonson, SR Kulkarni, ... The Astronomical Journal 148 (6), 138, 2014 | | 2014 |
Yoav LahiniTel Aviv UniversityVerified email at tauex.tau.ac.il
