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Christina Lee Yu (formerly Christina E. Lee)
Christina Lee Yu (formerly Christina E. Lee)
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Peer effects and stability in matching markets
E Bodine-Baron, C Lee, A Chong, B Hassibi, A Wierman
International Symposium on Algorithmic Game Theory, 117-129, 2011
1962011
Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing
WE Allen, H Altae-Tran, J Briggs, X Jin, G McGee, A Shi, R Raghavan, ...
Nature human behaviour 4 (9), 972-982, 2020
842020
Blind regression: Nonparametric regression for latent variable models via collaborative filtering
D Song, CE Lee, Y Li, D Shah
Advances in Neural Information Processing Systems 29, 2016
452016
Blind regression: Nonparametric regression for latent variable models via collaborative filtering
D Song, CE Lee, Y Li, D Shah
Advances in Neural Information Processing Systems 29, 2016
452016
Adaptive discretization for episodic reinforcement learning in metric spaces
SR Sinclair, S Banerjee, CL Yu
Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (3 …, 2019
362019
Thy friend is my friend: Iterative collaborative filtering for sparse matrix estimation
C Borgs, J Chayes, CE Lee, D Shah
Advances in neural information processing systems 30, 2017
292017
Modulating androgen receptor-driven transcription in prostate cancer with selective CDK9 inhibitors
A Richters, SK Doyle, DB Freeman, C Lee, BS Leifer, S Jagannathan, ...
Cell Chemical Biology 28 (2), 134-147. e14, 2021
262021
Computing the stationary distribution locally
CE Lee, A Ozdaglar, D Shah
Advances in Neural Information Processing Systems 26, 2013
212013
Nearest neighbors for matrix estimation interpreted as blind regression for latent variable model
Y Li, D Shah, D Song, CL Yu
IEEE Transactions on Information Theory 66 (3), 1760-1784, 2019
20*2019
Reducing crowdsourcing to graphon estimation, statistically
D Shah, C Lee
International Conference on Artificial Intelligence and Statistics, 1741-1750, 2018
172018
Solving systems of linear equations: Locally and asynchronously
CE Lee, AE Ozdaglar, D Shah
arXiv preprint arXiv:1411.2647, 2014
172014
Adaptive discretization for model-based reinforcement learning
S Sinclair, T Wang, G Jain, S Banerjee, C Yu
Advances in Neural Information Processing Systems 33, 3858-3871, 2020
162020
Iterative collaborative filtering for sparse noisy tensor estimation
D Shah, CL Yu
2019 IEEE International Symposium on Information Theory (ISIT), 41-45, 2019
132019
Unifying framework for crowd-sourcing via graphon estimation
CE Lee, D Shah
arXiv preprint arXiv:1703.08085, 2017
112017
Nonparametric contextual bandits in metric spaces with unknown metric
N Wanigasekara, C Yu
Advances in Neural Information Processing Systems 32, 2019
102019
Asynchronous approximation of a single component of the solution to a linear system
CE Lee, A Ozdaglar, D Shah
arXiv preprint arXiv:1411.2647, 2014
92014
Iterative collaborative filtering for sparse matrix estimation
C Borgs, JT Chayes, D Shah, CL Yu
Operations Research, 2021
72021
Sequential fair allocation of limited resources under stochastic demands
SR Sinclair, G Jain, S Banerjee, CL Yu
arXiv preprint arXiv:2011.14382, 2020
62020
Sequential fair allocation: Achieving the optimal envy-efficiency tradeoff curve
SR Sinclair, S Banerjee, CL Yu
Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint …, 2022
52022
Approximating the Stationary Probability of a Single State in a Markov chain
CE Lee, A Ozdaglar, D Shah
arXiv preprint arXiv:1312.1986, 2013
42013
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Articles 1–20