Omer Gottesman
Omer Gottesman
School of Engineering and Applied Sciences, Harvard University
Verified email at fas.harvard.edu
Title
Cited by
Cited by
Year
Nonmonotonic aging and memory retention in disordered mechanical systems
Y Lahini, O Gottesman, A Amir, SM Rubinstein
Physical review letters 118 (8), 085501, 2017
462017
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
402014
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nat Med 25 (1), 16-18, 2019
322019
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
262018
Multiple extinction routes in stochastic population models
O Gottesman, B Meerson
Physical Review E 85 (2), 021140, 2012
232012
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
202018
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
112018
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
102018
On the incompressibility of cylindrical origami patterns
F Bös, M Wardetzky, E Vouga, O Gottesman
Journal of Mechanical Design 139 (2), 2017
92017
Furrows in the wake of propagating d-cones
O Gottesman, E Efrati, SM Rubinstein
Nature communications 6 (1), 1-7, 2015
62015
A state variable for crumpled thin sheets
O Gottesman, J Andrejevic, CH Rycroft, SM Rubinstein
Communications Physics 1 (1), 1-7, 2018
52018
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
22019
Improving counterfactual reasoning with kernelised dynamic mixing models
S Parbhoo, O Gottesman, AS Ross, M Komorowski, A Faisal, I Bon, ...
PloS one 13 (11), 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
arXiv preprint arXiv:1710.06818, 2017
12017
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 (6), 138, 2014
2014
Stitched Trajectories for Off-Policy Learning
S Sussex, O Gottesman, Y Liu, S Murphy, E Brunskill, F Doshi-Velez
Regularizing tensor decomposition methods by optimizing pseudo-data
O Gottesman, F Doshi-Velez
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Articles 1–20