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Yin Tat Lee
Yin Tat Lee
Paul G. Allen School of Computer Science & Engineering, University of Washington
Bestätigte E-Mail-Adresse bei uw.edu - Startseite
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Zitiert von
Jahr
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
32302023
Phi-3 technical report: A highly capable language model locally on your phone
M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ...
arXiv preprint arXiv:2404.14219, 2024
5232024
Textbooks are all you need
S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ...
arXiv preprint arXiv:2306.11644, 2023
4782023
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
451*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
4422021
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
3752023
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
3692017
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
3602015
Textbooks are all you need ii: phi-1.5 technical report
Y Li, S Bubeck, R Eldan, A Del Giorno, S Gunasekar, YT Lee
arXiv preprint arXiv:2309.05463, 2023
3402023
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
3372014
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
3142021
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
2872013
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
2582015
Adversarial examples from computational constraints
S Bubeck, YT Lee, E Price, I Razenshteyn
International Conference on Machine Learning, 831-840, 2019
2512019
Can generalist foundation models outcompete special-purpose tuning? case study in medicine
H Nori, YT Lee, S Zhang, D Carignan, R Edgar, N Fusi, N King, J Larson, ...
arXiv preprint arXiv:2311.16452, 2023
2302023
Automatic prompt optimization with" gradient descent" and beam search
R Pryzant, D Iter, J Li, YT Lee, C Zhu, M Zeng
arXiv preprint arXiv:2305.03495, 2023
2202023
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
2012016
A geometric alternative to Nesterov's accelerated gradient descent
S Bubeck, YT Lee, M Singh
arXiv preprint arXiv:1506.08187, 2015
1932015
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
1902018
Kernel-based methods for bandit convex optimization
S Bubeck, R Eldan, YT Lee
Journal of the ACM (JACM) 68 (4), 1-35, 2021
1872021
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