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Michael P. Kim
Michael P. Kim
cs.cornell.edu의 이메일 확인됨 - 홈페이지
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Multicalibration: Calibration for the (computationally-identifiable) masses
U Hébert-Johnson, M Kim, O Reingold, G Rothblum
International Conference on Machine Learning, 1939-1948, 2018
5182018
Multiaccuracy: Black-box post-processing for fairness in classification
MP Kim, A Ghorbani, J Zou
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 247-254, 2019
4232019
Fairness through computationally-bounded awareness
M Kim, O Reingold, G Rothblum
Advances in neural information processing systems 31, 2018
1842018
A distributional framework for data valuation
A Ghorbani, M Kim, J Zou
International Conference on Machine Learning, 3535-3544, 2020
1452020
Planting undetectable backdoors in machine learning models
S Goldwasser, MP Kim, V Vaikuntanathan, O Zamir
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS …, 2022
862022
Outcome indistinguishability
C Dwork, MP Kim, O Reingold, GN Rothblum, G Yona
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
762021
Calibrating predictions to decisions: A novel approach to multi-class calibration
S Zhao, M Kim, R Sahoo, T Ma, S Ermon
Advances in Neural Information Processing Systems 34, 22313-22324, 2021
752021
Preference-informed fairness
MP Kim, A Korolova, GN Rothblum, G Yona
arXiv preprint arXiv:1904.01793, 2019
532019
Who can win a single-elimination tournament?
MP Kim, W Suksompong, VV Williams
SIAM Journal on Discrete Mathematics 31 (3), 1751-1764, 2017
522017
Universal adaptability: Target-independent inference that competes with propensity scoring
MP Kim, C Kern, S Goldwasser, F Kreuter, O Reingold
Proceedings of the National Academy of Sciences 119 (4), e2108097119, 2022
462022
Low-degree multicalibration
P Gopalan, MP Kim, MA Singhal, S Zhao
Conference on Learning Theory, 3193-3234, 2022
452022
Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support–free days in patients hospitalized with COVID-19: a randomized …
S Florescu, D Stanciu, M Zaharia, A Kosa, D Codreanu, K Fareed, ...
Jama 329 (14), 1183-1196, 2023
442023
Fixing tournaments for kings, chokers, and more
MP Kim, VV Williams
Proceedings of the 24th International Conference on Artificial Intelligence …, 2015
402015
Synthesis of enantiopure, trisubstituted cryptophane-A derivatives
O Taratula, MP Kim, Y Bai, JP Philbin, BA Riggle, DN Haase, ...
Organic letters 14 (14), 3580-3583, 2012
402012
Loss minimization through the lens of outcome indistinguishability
P Gopalan, L Hu, MP Kim, O Reingold, U Wieder
arXiv preprint arXiv:2210.08649, 2022
382022
Learning from outcomes: Evidence-based rankings
C Dwork, MP Kim, O Reingold, GN Rothblum, G Yona
2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS …, 2019
322019
Making decisions under outcome performativity
MP Kim, JC Perdomo
arXiv preprint arXiv:2210.01745, 2022
292022
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
P Gopalan, MP Kim, O Reingold
arXiv preprint arXiv:2302.06726v2, 2023
222023
On estimating edit distance: Alignment, dimension reduction, and embeddings
M Charikar, O Geri, MP Kim, W Kuszmaul
arXiv preprint arXiv:1804.09907, 2018
182018
mcboost: Multi-calibration boosting for r
F Pfisterer, C Kern, S Dandl, M Sun, MP Kim, B Bischl
Journal of Open Source Software 6 (64), 3453, 2021
152021
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