Gal Yona

About Gal Yona

Gal Yona, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Weizmann Institute of Science, specializes in the field of machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers

Surfacing Biases in Large Language Models using Contrastive Input Decoding

Malign Overfitting: Interpolation Can Provably Preclude Invariance

Useful Confidence Measures: Beyond the Max Score

Active learning with label comparisons

Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature

Decision-Making under Miscalibration

On Fairness and Stability in Two-Sided Matchings

Gal Yona Information

University

Position

___

Citations(all)

491

Citations(since 2020)

485

Cited By

108

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Gal Yona Skills & Research Interests

machine learning

Top articles of Gal Yona

Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers

arXiv preprint arXiv:2401.04695

2024/1/9

Gal Yona
Gal Yona

H-Index: 5

Mor Geva
Mor Geva

H-Index: 7

Surfacing Biases in Large Language Models using Contrastive Input Decoding

arXiv preprint arXiv:2305.07378

2023/5/12

Gal Yona
Gal Yona

H-Index: 5

Malign Overfitting: Interpolation Can Provably Preclude Invariance

arXiv preprint arXiv:2211.15724

2022/11/28

Useful Confidence Measures: Beyond the Max Score

arXiv preprint arXiv:2210.14070

2022/10/25

Gal Yona
Gal Yona

H-Index: 5

Amir Feder
Amir Feder

H-Index: 6

Active learning with label comparisons

2022/8/17

Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature

2022/3/20

Decision-Making under Miscalibration

arXiv preprint arXiv:2203.09852

2022/3/18

Gal Yona
Gal Yona

H-Index: 5

On Fairness and Stability in Two-Sided Matchings

arXiv preprint arXiv:2111.10885

2021/11/21

Gili Karni
Gili Karni

H-Index: 1

Gal Yona
Gal Yona

H-Index: 5

Revisiting Sanity Checks for Saliency Maps

arXiv preprint arXiv:2110.14297

2021/10/27

Gal Yona
Gal Yona

H-Index: 5

Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification

arXiv preprint arXiv:2110.00813

2021/10/2

Gal Yona
Gal Yona

H-Index: 5

Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data

2021/7/21

Gal Yona
Gal Yona

H-Index: 5

James Zou
James Zou

H-Index: 38

Multi-group agnostic pac learnability

2021/7/1

Gal Yona
Gal Yona

H-Index: 5

Outcome indistinguishability

2021/6/15

Addressing bias in prediction models by improving subpopulation calibration

Journal of the American Medical Informatics Association

2021/3

Gal Yona
Gal Yona

H-Index: 5

Developing a COVID-19 mortality risk prediction model when individual-level data are not available

Nature Communications

2020/9/7

See List of Professors in Gal Yona University(Weizmann Institute of Science)