Omer Gottesman
Omer Gottesman
School of Engineering and Applied Sciences, Harvard University
Verified email at fas.harvard.edu
Title
Cited by
Cited by
Year
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nat Med 25 (1), 16-18, 2019
612019
Nonmonotonic aging and memory retention in disordered mechanical systems
Y Lahini, O Gottesman, A Amir, SM Rubinstein
Physical review letters 118 (8), 085501, 2017
492017
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
452014
Representation balancing mdps for off-policy policy evaluation
Y Liu, O Gottesman, A Raghu, M Komorowski, AA Faisal, F Doshi-Velez, ...
Advances in Neural Information Processing Systems, 2644-2653, 2018
342018
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
282018
Multiple extinction routes in stochastic population models
O Gottesman, B Meerson
Physical Review E 85 (2), 021140, 2012
242012
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
152018
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
142018
On the incompressibility of cylindrical origami patterns
F Bös, M Wardetzky, E Vouga, O Gottesman
Journal of Mechanical Design 139 (2), 2017
92017
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
72019
A state variable for crumpled thin sheets
O Gottesman, J Andrejevic, CH Rycroft, SM Rubinstein
Communications Physics 1 (1), 1-7, 2018
72018
Furrows in the wake of propagating d-cones
O Gottesman, E Efrati, SM Rubinstein
Nature communications 6 (1), 1-7, 2015
72015
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
22018
Localized patterns in crushed conical shells
O Gottesman, E Vouga, SM Rubinstein, L Mahadevan
EPL (Europhysics Letters) 124 (1), 14005, 2018
12018
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
12018
Learning to search efficiently for causally near-optimal treatments
S Håkansson, V Lindblom, O Gottesman, FD Johansson
arXiv preprint arXiv:2007.00973, 2020
2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
O Gottesman, J Futoma, Y Liu, S Parbhoo, E Brunskill, F Doshi-Velez
arXiv preprint arXiv:2002.03478, 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 (138), 1pp, 2014
2014
Stitched Trajectories for Off-Policy Learning
S Sussex, O Gottesman, Y Liu, S Murphy, E Brunskill, F Doshi-Velez
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Articles 1–20