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Esther Rolf
Esther Rolf
Postdoctoral fellow, Harvard University DSI / CRCS
Verified email at seas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
The effect of large-scale anti-contagion policies on the COVID-19 pandemic
S Hsiang, D Allen, S Annan-Phan, K Bell, I Bolliger, T Chong, ...
Nature 584 (7820), 262-267, 2020
13242020
Delayed impact of fair machine learning
LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt
International Conference on Machine Learning, 3150-3158, 2018
3522018
A generalizable and accessible approach to machine learning with global satellite imagery
E Rolf, J Proctor, T Carleton, I Bolliger, V Shankar, M Ishihara, B Recht, ...
Nature communications 12 (1), 1-11, 2021
172021
Balancing competing objectives with noisy data: Score-based classifiers for welfare-aware machine learning
E Rolf, M Simchowitz, S Dean, LT Liu, D Bjorkegren, M Hardt, ...
International Conference on Machine Learning, 8158-8168, 2020
172020
A successive-elimination approach to adaptive robotic source seeking
E Rolf, D Fridovich-Keil, M Simchowitz, B Recht, C Tomlin
IEEE Transactions on Robotics, 2020
12*2020
Representation matters: Assessing the importance of subgroup allocations in training data
E Rolf, TT Worledge, B Recht, M Jordan
International Conference on Machine Learning, 9040-9051, 2021
82021
Post-estimation smoothing: A simple baseline for learning with side information
E Rolf, MI Jordan, B Recht
International Conference on Artificial Intelligence and Statistics, 1759-1769, 2020
62020
Enhancing Wi-Fi Signal Strength of a Dynamic Heterogeneous System Using a Mobile Robot Provider
E Rolf, M Whitlock, BC Min, ET Matson
Robot Intelligence Technology and Applications 2, 927-937, 2014
42014
Resolving label uncertainty with implicit posterior models
E Rolf, N Malkin, A Graikos, A Jojic, C Robinson, N Jojic
arXiv preprint arXiv:2202.14000, 2022
12022
Resolving label uncertainty with implicit generative models
E Rolf, N Malkin, A Graikos, A Jojic, C Robinson, N Jojic
2021
Generalized Planetary Remote Sensing
E Rolf, J Proctor, T Carleton, IW Bolliger, V Shankar, M Ishihara, B Recht, ...
AGU Fall Meeting Abstracts 2019, GC34C-07, 2019
2019
Convolutions of random patches as a generalizable featurization for multi-domain prediction using remote sensing imagery
IW Bolliger, T Carleton, SM Hsiang, J Kadish, J Proctor, B Recht, E Rolf, ...
AGU Fall Meeting Abstracts 2018, H34B-05, 2018
2018
Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis
I Bolliger, T Carleton, S Hsiang, J Kadish, J Proctor, B Recht, E Rolf, ...
arXiv preprint arXiv:1710.09342, 2017
2017
Balancing Competing Objectives for Welfare-Aware Machine Learning with Imperfect Data
E Rolf, M Simchowitz, S Dean, LT Liu, D Bj÷rkegren, M Hardt, ...
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Articles 1–14