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Yair Carmon
Yair Carmon
Verified email at tauex.tau.ac.il - Homepage
Title
Cited by
Cited by
Year
Unlabeled data improves adversarial robustness
Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang
Advances in neural information processing systems 32, 2019
4932019
Accelerated methods for nonconvex optimization
Y Carmon, JC Duchi, O Hinder, A Sidford
SIAM Journal on Optimization 28 (2), 1751-1772, 2018
2862018
No bad local minima: Data independent training error guarantees for multilayer neural networks
D Soudry, Y Carmon
arXiv preprint arXiv:1605.08361, 2016
2382016
Lower bounds for non-convex stochastic optimization
Y Arjevani, Y Carmon, JC Duchi, DJ Foster, N Srebro, B Woodworth
Mathematical Programming, 1-50, 2022
1612022
Gradient descent finds the cubic-regularized non-convex newton step
Y Carmon, JC Duchi
arXiv preprint arXiv:1612.00547, 2016
1482016
Lower bounds for finding stationary points I
Y Carmon, JC Duchi, O Hinder, A Sidford
Mathematical Programming, 1-50, 2019
1282019
"Convex Until Proven Guilty": Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions
Y Carmon, O Hinder, JC Duchi, A Sidford
arXiv preprint arXiv:1705.02766, 2017
1212017
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
M Wortsman, G Ilharco, SY Gadre, R Roelofs, R Gontijo-Lopes, ...
International Conference on Machine Learning, 23965-23998, 2022
1102022
Lower bounds for finding stationary points ii: First-order methods
Y Carmon, JC Duchi, O Hinder, A Sidford
arXiv preprint arXiv:1711.00841, 2017
88*2017
Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization
JP Miller, R Taori, A Raghunathan, S Sagawa, PW Koh, V Shankar, ...
International Conference on Machine Learning, 7721-7735, 2021
872021
Large-scale methods for distributionally robust optimization
D Levy, Y Carmon, JC Duchi, A Sidford
Advances in Neural Information Processing Systems 33, 8847-8860, 2020
752020
Variance reduction for matrix games
Y Carmon, Y Jin, A Sidford, K Tian
Advances in Neural Information Processing Systems 32, 2019
512019
Analysis of Krylov Subspace Solutions of Regularized Nonconvex Quadratic Problems
Y Carmon, JC Duchi
arXiv preprint arXiv:1806.09222, 2018, 2018
462018
Second-order information in non-convex stochastic optimization: Power and limitations
Y Arjevani, Y Carmon, JC Duchi, DJ Foster, A Sekhari, K Sridharan
Conference on Learning Theory, 242-299, 2020
352020
Lower bounds for finding stationary points II: first-order methods
Y Carmon, JC Duchi, O Hinder, A Sidford
Mathematical Programming, 2019
272019
Contour based defect detection
A Gupta, M Mahadevan, S Venkataraman, H Yang, L Karsenti, Y Carmon, ...
US Patent 10,395,362, 2019
272019
Single image detection
L Karsenti, K Bhaskar, JR Jordan III, S Venkataraman, Y Carmon
US Patent 10,186,026, 2019
272019
Acceleration with a ball optimization oracle
Y Carmon, A Jambulapati, Q Jiang, Y Jin, YT Lee, A Sidford, K Tian
Advances in Neural Information Processing Systems 33, 19052-19063, 2020
262020
Coordinate methods for matrix games
Y Carmon, Y Jin, A Sidford, K Tian
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020
222020
First-order methods for nonconvex quadratic minimization
Y Carmon, JC Duchi
SIAM Review 62 (2), 395-436, 2020
202020
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