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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
2472011
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
542016
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
542016
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
432019
Sequential fair allocation: Achieving the optimal envy-efficiency tradeoff curve
SR Sinclair, S Banerjee, CL Yu
ACM SIGMETRICS Performance Evaluation Review 50 (1), 95-96, 2022
352022
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
332017
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
27*2019
Computing the stationary distribution locally
CE Lee, A Ozdaglar, D Shah
Advances in Neural Information Processing Systems 26, 2013
272013
Sukin Sim, Arshpreet Singh, Ingrid Strandberg, Jay Soni, Antal Száva, Slimane Thabet, Rodrigo A
V Bergholm, J Izaac, M Schuld, C Gogolin, S Ahmed, V Ajith, MS Alam, ...
Vargas-Hernández, Trevor Vincent, Nicola Vitucci, Maurice Weber, David …, 2022
262022
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
232020
Estimating the total treatment effect in randomized experiments with unknown network structure
CL Yu, EM Airoldi, C Borgs, JT Chayes
Proceedings of the National Academy of Sciences 119 (44), e2208975119, 2022
222022
Reducing crowdsourcing to graphon estimation, statistically
D Shah, C Lee
International Conference on Artificial Intelligence and Statistics, 1741-1750, 2018
222018
Sequential fair allocation of limited resources under stochastic demands
SR Sinclair, G Jain, S Banerjee, CL Yu
arXiv preprint arXiv:2011.14382, 2020
212020
Iterative collaborative filtering for sparse noisy tensor estimation
D Shah, CL Yu
2019 IEEE International Symposium on Information Theory (ISIT), 41-45, 2019
192019
Solving systems of linear equations: Locally and asynchronously
CE Lee, AE Ozdaglar, D Shah
Computing Research Repository, 2014
192014
Nonparametric contextual bandits in metric spaces with unknown metric
N Wanigasekara, C Yu
Advances in Neural Information Processing Systems 32, 2019
172019
Staggered rollout designs enable causal inference under interference without network knowledge
M Cortez, M Eichhorn, C Yu
Advances in Neural Information Processing Systems 35, 7437-7449, 2022
142022
Iterative collaborative filtering for sparse matrix estimation
C Borgs, JT Chayes, D Shah, CL Yu
Operations Research 70 (6), 3143-3175, 2022
112022
Unifying framework for crowd-sourcing via graphon estimation
CE Lee, D Shah
arXiv preprint arXiv:1703.08085, 2017
112017
Overcoming the long horizon barrier for sample-efficient reinforcement learning with latent low-rank structure
T Sam, Y Chen, CL Yu
Proceedings of the ACM on Measurement and Analysis of Computing Systems 7 (2 …, 2023
102023
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Articles 1–20