Yin Tat Lee

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Aaron SidfordStanford UniversityDirección de correo verificada de stanford.edu
Sebastien BubeckVP GenAI Research, Microsoft AIDirección de correo verificada de microsoft.com
Santosh S. VempalaGeorgia TechDirección de correo verificada de gatech.edu
Ronen EldanWeizmann InstituteDirección de correo verificada de weizmann.ac.il
Zhao SongAdobe ResearchDirección de correo verificada de ias.edu
Richard PengCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Kevin TianAssistant Professor, University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Francis BachInria - Ecole Normale SupérieureDirección de correo verificada de inria.fr
Jan van den BrandGeorgia TechDirección de correo verificada de gatech.edu
Laurent MassoulieInria, MSR-Inria Joint CentreDirección de correo verificada de inria.fr
Kevin ScamanResearch scientist, INRIADirección de correo verificada de inria.fr
Michael B. CohenGraduate Student in Computer Science, MITDirección de correo verificada de mit.edu
Cameron MuscoAssistant Professor, University of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
Christopher MuscoAssistant Professor, New York UniversityDirección de correo verificada de nyu.edu
Lorenzo OrecchiaUniversity of Chicago, Computer ScienceDirección de correo verificada de bu.edu
Tsz Chiu KwokUniversity of WaterlooDirección de correo verificada de uwaterloo.ca
Lap Chi LauUniversity of WaterlooDirección de correo verificada de cs.uwaterloo.ca
Thatchaphol SaranurakUniversity of MichiganDirección de correo verificada de umich.edu
He SunReader in Algorithms & Complexity, University of EdinburghDirección de correo verificada de ed.ac.uk
Michael KapralovAssociate Professor, EPFLDirección de correo verificada de epfl.ch

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Yin Tat Lee

Paul G. Allen School of Computer Science & Engineering, University of Washington

Dirección de correo verificada de uw.edu - Página principal

convex optimization convex geometry spectral graph theory online algorithms


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Sparks of artificial general intelligence: Early experiments with gpt-4 S Bubeck, V Chandrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ... arXiv preprint arXiv:2303.12712, 2023	1871	2023
Path finding methods for linear programming: Solving linear programs in o (vrank) iterations and faster algorithms for maximum flow YT Lee, A Sidford 2014 IEEE 55th Annual Symposium on Foundations of Computer Science, 424-433, 2014	425*	2014
Solving linear programs in the current matrix multiplication time MB Cohen, YT Lee, Z Song Journal of the ACM (JACM) 68 (1), 1-39, 2021	380	2021
Optimal algorithms for smooth and strongly convex distributed optimization in networks K Scaman, F Bach, S Bubeck, YT Lee, L Massoulié international conference on machine learning, 3027-3036, 2017	345	2017
A faster cutting plane method and its implications for combinatorial and convex optimization YT Lee, A Sidford, SC Wong 2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 1049-1065, 2015	330	2015
An almost-linear-time algorithm for approximate max flow in undirected graphs, and its multicommodity generalizations JA Kelner, YT Lee, L Orecchia, A Sidford Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014	325	2014
Efficient accelerated coordinate descent methods and faster algorithms for solving linear systems YT Lee, A Sidford 2013 ieee 54th annual symposium on foundations of computer science, 147-156, 2013	279	2013
Uniform sampling for matrix approximation MB Cohen, YT Lee, C Musco, C Musco, R Peng, A Sidford Proceedings of the 2015 Conference on Innovations in Theoretical Computer …, 2015	243	2015
Adversarial examples from computational constraints S Bubeck, YT Lee, E Price, I Razenshteyn International Conference on Machine Learning, 831-840, 2019	232	2019
Differentially private fine-tuning of language models D Yu, S Naik, A Backurs, S Gopi, HA Inan, G Kamath, J Kulkarni, YT Lee, ... arXiv preprint arXiv:2110.06500, 2021	212	2021
Sparks of artificial general intelligence: Early experiments with GPT-4. arXiv S Bubeck, V Chandrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ... arXiv preprint arXiv:2303.12712, 2023	204	2023
A geometric alternative to Nesterov's accelerated gradient descent S Bubeck, YT Lee, M Singh arXiv preprint arXiv:1506.08187, 2015	188	2015
Optimal algorithms for non-smooth distributed optimization in networks K Scaman, F Bach, S Bubeck, L Massoulié, YT Lee Advances in Neural Information Processing Systems 31, 2018	185	2018
Geometric median in nearly linear time MB Cohen, YT Lee, G Miller, J Pachocki, A Sidford Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016	184	2016
Textbooks are all you need S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... arXiv preprint arXiv:2306.11644, 2023	179	2023
Kernel-based methods for bandit convex optimization S Bubeck, YT Lee, R Eldan Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	173*	2017
Efficient Inverse Maintenance and Faster Algorithms for Linear Programming YT Lee, A Sidford arXiv preprint arXiv:1503.01752, 2015	172	2015
Sparsified cholesky and multigrid solvers for connection laplacians R Kyng, YT Lee, R Peng, S Sachdeva, DA Spielman Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016	167*	2016
Single pass spectral sparsification in dynamic streams M Kapralov, YT Lee, CN Musco, CP Musco, A Sidford SIAM Journal on Computing 46 (1), 456-477, 2017	164	2017
Minimum cost flows, MDPs, and ℓ₁-regression in nearly linear time for dense instances J Van Den Brand, YT Lee, YP Liu, T Saranurak, A Sidford, Z Song, ... Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021	136	2021

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