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Yin Tat Lee
Yin Tat Lee
Paul G. Allen School of Computer Science & Engineering, University of Washington
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
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
28152023
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
444*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
4232021
Textbooks are all you need
S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ...
arXiv preprint arXiv:2306.11644, 2023
3652023
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
3632017
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
3502015
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
3292014
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
3082023
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
2842013
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
2692021
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
2612023
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
2532015
Adversarial examples from computational constraints
S Bubeck, YT Lee, E Price, I Razenshteyn
International Conference on Machine Learning, 831-840, 2019
2452019
Phi-3 technical report: A highly capable language model locally on your phone
M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ...
arXiv preprint arXiv:2404.14219, 2024
2372024
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
1982016
A geometric alternative to Nesterov's accelerated gradient descent
S Bubeck, YT Lee, M Singh
arXiv preprint arXiv:1506.08187, 2015
1912015
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
1892018
Kernel-based methods for bandit convex optimization
S Bubeck, R Eldan, YT Lee
Journal of the ACM (JACM) 68 (4), 1-35, 2021
1852021
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
1822023
Efficient Inverse Maintenance and Faster Algorithms for Linear Programming
YT Lee, A Sidford
arXiv preprint arXiv:1503.01752, 2015
1782015
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Articles 1–20