Yair Carmon

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John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityDirección de correo verificada de stanford.edu
Aaron SidfordStanford UniversityDirección de correo verificada de stanford.edu
Oliver HinderAssistant Professor, Industrial Engineering Department, University of PittsburghDirección de correo verificada de pitt.edu
Ludwig SchmidtUniversity of Washington and Allen Institute for AIDirección de correo verificada de cs.washington.edu
Yujia JinStanford UniversityDirección de correo verificada de stanford.edu
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityDirección de correo verificada de cmu.edu
Kevin TianAssistant Professor, University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Daniel SoudryAssociate ProfessorDirección de correo verificada de technion.ac.il
Tsachy WeissmanProfessor of Electrical Engineering at Stanford UniversityDirección de correo verificada de stanford.edu
Adam ShwartzElectrical Engineering, TechnionDirección de correo verificada de ee.technion.ac.il
Kartik VenkatGraduate Student, Stanford UniversityDirección de correo verificada de alumni.stanford.edu
Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionDirección de correo verificada de technion.ac.il
Ron KimmelProf. of CS (& ECE) Technion, CSO of Lumana.AI, IsraelDirección de correo verificada de cs.technion.ac.il
Michael BronsteinDeepMind Professor of AI, University of OxfordDirección de correo verificada de cs.ox.ac.uk

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Yair Carmon

Tel Aviv University

Dirección de correo verificada de tauex.tau.ac.il - Página principal

Machine Learning Optimization Statistics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Unlabeled data improves adversarial robustness Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang Advances in neural information processing systems 32, 2019	709	2019
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	518	2022
Accelerated methods for nonconvex optimization Y Carmon, JC Duchi, O Hinder, A Sidford SIAM Journal on Optimization 28 (2), 1751-1772, 2018	331	2018
Lower bounds for non-convex stochastic optimization Y Arjevani, Y Carmon, JC Duchi, DJ Foster, N Srebro, B Woodworth Mathematical Programming 199 (1), 165-214, 2023	278	2023
No bad local minima: Data independent training error guarantees for multilayer neural networks D Soudry, Y Carmon arXiv preprint arXiv:1605.08361, 2016	258	2016
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	234	2021
Lower bounds for finding stationary points I Y Carmon, JC Duchi, O Hinder, A Sidford Mathematical Programming, 1-50, 2019	210	2019
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	177	2020
Gradient descent finds the cubic-regularized non-convex newton step Y Carmon, JC Duchi arXiv preprint arXiv:1612.00547, 2016	164	2016
Lower bounds for finding stationary points II: first-order methods Y Carmon, JC Duchi, O Hinder, A Sidford Mathematical Programming, 2019	158*	2019
"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	149	2017
Datacomp: In search of the next generation of multimodal datasets SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ... Advances in Neural Information Processing Systems 36, 2024	131	2024
Variance reduction for matrix games Y Carmon, Y Jin, A Sidford, K Tian Advances in Neural Information Processing Systems 32, 2019	70	2019
Analysis of Krylov Subspace Solutions of Regularized Nonconvex Quadratic Problems Y Carmon, JC Duchi arXiv preprint arXiv:1806.09222, 2018, 2018	54	2018
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	52	2020
Contour based defect detection A Gupta, M Mahadevan, S Venkataraman, H Yang, L Karsenti, Y Carmon, ... US Patent 10,395,362, 2019	46	2019
Single image detection L Karsenti, K Bhaskar, JR Jordan III, S Venkataraman, Y Carmon US Patent 10,186,026, 2019	44	2019
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	42	2020
Harder or different? a closer look at distribution shift in dataset reproduction S Lu, B Nott, A Olson, A Todeschini, H Vahabi, Y Carmon, L Schmidt ICML Workshop on Uncertainty and Robustness in Deep Learning 5, 15, 2020	35	2020
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	31	2020

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