Yair Carmon

Assistant Professor, Tel Aviv University

Joined

January 2019

Names

Yair Carmon (Preferred)

Emails

****@gmail.com (Confirmed)

****@stanford.edu (Confirmed)

****@tauex.tau.ac.il (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Assistant Professor

Tel Aviv University (tau.ac.il)

2020 – Present

PhD student

Stanford University (stanford.edu)

2015 – 2020

MS student

Technion (technion.ac.il)

2010 – 2014

Advisors, Relations & Conflicts

Coauthor

Kfir Yehuda Levy

2025 – Present

PhD Advisee

Itai Kreisler

2023 – Present

PhD Advisee

Maor Ivgi

2022 – Present

Coauthor

Ludwig Schmidt

2019 – Present

Coauthor

Oliver Hinder

2016 – Present

PhD Advisor

John Duchi

2015 – Present

PhD Advisor

Aaron Sidford

2015 – Present

Coauthor

Daniel Soudry

2005 – Present

Coauthor

Kevin Tian

2018 – 2022

Expertise

Optimization

2015 – Present

Machine Learning

2015 – Present

Publications

Extracting Dual Solutions via Primal Optimizers
Liam O'Carroll, Arun Jambulapati, Yair Carmon, Aaron Sidford
- ITCS 2025
- Readers: Everyone
Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining
Mikey Shechter, Yair Carmon
- NeurIPS 2025 poster
- Readers: Everyone
Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions
Ofir Gaash, Kfir Yehuda Levy, Yair Carmon
- NeurIPS 2025 poster
- Readers: Everyone
An Analytical Model for Overparameterized Learning Under Class Imbalance
Eliav Mor, Yair Carmon
- Accepted by TMLR
- Readers: Everyone
Language models scale reliably with over-training and on downstream tasks
Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar et al. (5 additional authors not shown)
- ICLR 2025 Poster
- Readers: Everyone
Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Tomer Porian, Mitchell Wortsman, Jenia Jitsev, Ludwig Schmidt, Yair Carmon
- WANT@ICML 2024 Oral
- Readers: Everyone
DataComp-LM: In search of the next generation of training sets for language models
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton et al. (39 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Tomer Porian, Mitchell Wortsman, Jenia Jitsev, Ludwig Schmidt, Yair Carmon
- NeurIPS 2024 spotlight
- Readers: Everyone
Language models scale reliably with over-training and on downstream tasks
Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar et al. (5 additional authors not shown)
- Submitted to NeurIPS 2024
- Readers: Everyone
DataComp: In search of the next generation of multimodal datasets
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti et al. (14 additional authors not shown)
- NeurIPS 2023 Datasets and Benchmarks Oral
- Readers: Everyone

View all 50 publications

Co-Authors

View all 117 co-authors