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Yair Carmon
Yair Carmon
tauex.tau.ac.il의 이메일 확인됨 - 홈페이지
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Unlabeled data improves adversarial robustness
Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang
Advances in Neural Information Processing Systems 32, 2019
3942019
Accelerated methods for nonconvex optimization
Y Carmon, JC Duchi, O Hinder, A Sidford
SIAM Journal on Optimization 28 (2), 1751-1772, 2018
2652018
No bad local minima: Data independent training error guarantees for multilayer neural networks
D Soudry, Y Carmon
arXiv preprint arXiv:1605.08361, 2016
2292016
Lower bounds for finding stationary points I
Y Carmon, JC Duchi, O Hinder, A Sidford
Mathematical Programming, 1-50, 2019
1662019
Gradient descent finds the cubic-regularized non-convex newton step
Y Carmon, JC Duchi
arXiv preprint arXiv:1612.00547, 2016
1332016
Lower bounds for non-convex stochastic optimization
Y Arjevani, Y Carmon, JC Duchi, DJ Foster, N Srebro, B Woodworth
Mathematical Programming, 1-50, 2022
1312022
"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
1052017
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
482020
Variance reduction for matrix games
Y Carmon, Y Jin, A Sidford, K Tian
Advances in Neural Information Processing Systems 32, 2019
452019
Analysis of Krylov Subspace Solutions of Regularized Nonconvex Quadratic Problems
Y Carmon, JC Duchi
arXiv preprint arXiv:1806.09222, 2018, 2018
422018
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
402021
Lower bounds for finding stationary points II: first-order methods
Y Carmon, JC Duchi, O Hinder, A Sidford
Mathematical Programming, 2019
342019
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
292022
Single image detection
L Karsenti, K Bhaskar, JR Jordan III, S Venkataraman, Y Carmon
US Patent 10,186,026, 2019
262019
Contour based defect detection
A Gupta, M Mahadevan, S Venkataraman, H Yang, L Karsenti, Y Carmon, ...
US Patent 10,395,362, 2019
222019
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
202020
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
202020
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
182020
Comparison of the Achievable Rates in OFDM and Single Carrier Modulation with IID Inputs
Y Carmon, S Shamai, T Weissman
IEEE Transactions on Information Theory 61 (4), 1795-1818, 2015
182015
Markov decision processes with exponentially representable discounting
Y Carmon, A Shwartz
Operations Research Letters 37 (1), 51-55, 2009
182009
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