עקוב אחר
Gal Yona
Gal Yona
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Developing a COVID-19 mortality risk prediction model when individual-level data are not available
N Barda, D Riesel, A Akriv, J Levy, U Finkel, G Yona, D Greenfeld, ...
Nature Communications 11 (1), 1-9, 2020
1462020
Probably Approximately Metric-Fair Learning
G Yona, G Rothblum
International Conference on Machine Learning, 5666-5674, 2018
101*2018
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
602021
Addressing bias in prediction models by improving subpopulation calibration
N Barda, G Yona, GN Rothblum, P Greenland, M Leibowitz, R Balicer, ...
Journal of the American Medical Informatics Association 28 (3), 549-558, 2021
532021
Preference-Informed Fairness
MP Kim, A Korolova, GN Rothblum, G Yona
arXiv preprint arXiv:1904.01793, 2019
432019
Multi-group agnostic pac learnability
GN Rothblum, G Yona
International Conference on Machine Learning, 9107-9115, 2021
342021
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) 14, 18, 2019
292019
Revisiting Sanity Checks for Saliency Maps
G Yona, D Greenfeld
arXiv preprint arXiv:2110.14297, 2021
242021
Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data
G Yona, A Ghorbani, J Zou
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 1034 …, 2021
17*2021
Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature
C Dwork, MP Kim, O Reingold, GN Rothblum, G Yona
International Conference on Algorithmic Learning Theory, 342-380, 2022
102022
Malign Overfitting: Interpolation Can Provably Preclude Invariance
Y Wald, G Yona, U Shalit, Y Carmon
arXiv preprint arXiv:2211.15724, 2022
9*2022
On Fairness and Stability in Two-Sided Matchings
G Karni, GN Rothblum, G Yona
arXiv preprint arXiv:2111.10885, 2021
82021
A gentle introduction to the discussion on algorithmic fairness
G Yona
Towards Data Science 5, 2017
62017
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers
G Yona, R Aharoni, M Geva
arXiv preprint arXiv:2401.04695, 2024
52024
Surfacing Biases in Large Language Models using Contrastive Input Decoding
G Yona, O Honovich, I Laish, R Aharoni
arXiv preprint arXiv:2305.07378, 2023
52023
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Z Gekhman, G Yona, R Aharoni, M Eyal, A Feder, R Reichart, J Herzig
arXiv preprint arXiv:2405.05904, 2024
32024
Decision-Making under Miscalibration
GN Rothblum, G Yona
arXiv preprint arXiv:2203.09852, 2022
32022
Useful Confidence Measures: Beyond the Max Score
G Yona, A Feder, I Laish
arXiv preprint arXiv:2210.14070, 2022
22022
Active learning with label comparisons
G Yona, S Moran, G Elidan, A Globerson
Uncertainty in Artificial Intelligence, 2289-2298, 2022
22022
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
G Yona, R Aharoni, M Geva
arXiv preprint arXiv:2405.16908, 2024
2024
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מאמרים 1–20