Christina Lee Yu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 45

Top Topics

Matrix Completion

Reinforcement Learning

Low Rank Matrices

Top Venues

SIGMETRICS (Abstracts)

Publications

Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu
Combining Rollout Designs and Clustering for Causal Inference under Low-order Interference. CoRR (2024)
Haiyun He, Christina Lee Yu, Ziv Goldfeld
Information-Theoretic Generalization Bounds for Deep Neural Networks. CoRR (2024)
Siddhartha Banerjee, Alankrita Bhatt, Christina Lee Yu
The SMART approach to instance-optimal online learning. CoRR (2024)
Siddhartha Banerjee, Alankrita Bhatt, Christina Lee Yu
The SMART approach to instance-optimal online learning. COLT (2024)
Xumei Xi, Christina Lee Yu, Yudong Chen
Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling. CoRR (2024)
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Trade-off Curve. Oper. Res. 71 (5) (2023)
Devavrat Shah, Christina Lee Yu
Robust Max Entrywise Error Bounds for Tensor Estimation From Sparse Observations via Similarity-Based Collaborative Filtering. IEEE Trans. Inf. Theory 69 (5) (2023)
Xumei Xi, Christina Lee Yu, Yudong Chen
Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure. CoRR (2023)
Tyler Sam, Yudong Chen, Christina Lee Yu
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. SIGMETRICS (Abstracts) (2023)
Su Jia, Sohom Bhattacharya, Nathan Kallus, Christina Lee Yu
Faster Rates for Switchback Experiments. CoRR (2023)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization in Online Reinforcement Learning. Oper. Res. 71 (5) (2023)
Xumei Xi, Christina Lee Yu, Yudong Chen
Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling. ISIT (2023)
Tyler Sam, Yudong Chen, Christina Lee Yu
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. SIGMETRICS Perform. Evaluation Rev. 50 (4) (2023)
Tyler Sam, Yudong Chen, Christina Lee Yu
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. Proc. ACM Meas. Anal. Comput. Syst. 7 (2) (2023)
Christina Lee Yu, Xumei Xi
Tensor Completion with Nearly Linear Samples Given Weak Side Information. Proc. ACM Meas. Anal. Comput. Syst. 6 (2) (2022)
Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits. CoRR (2022)
Christina Lee Yu, Edoardo M. Airoldi, Christian Borgs, Jennifer T. Chayes
Graph Agnostic Randomized Experimental Design. CoRR (2022)
Christian Borgs, Jennifer T. Chayes, Devavrat Shah, Christina Lee Yu
Iterative Collaborative Filtering for Sparse Matrix Estimation. Oper. Res. 70 (6) (2022)
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
Graph Agnostic Estimators with Staggered Rollout Designs under Network Interference. CoRR (2022)
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge. NeurIPS (2022)
Anish Agarwal, Sarah Cen, Devavrat Shah, Christina Lee Yu
Network Synthetic Interventions: A Framework for Panel Data with Network Interference. CoRR (2022)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve. SIGMETRICS (Abstracts) (2022)
Christopher Archer, Siddhartha Banerjee, Mayleen Cortez, Carrie Rucker, Sean R. Sinclair, Max Solberg, Qiaomin Xie, Christina Lee Yu
ORSuite: Benchmarking Suite for Sequential Operations Models. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Christina Lee Yu, Xumei Xi
Tensor Completion with Nearly Linear Samples Given Weak Side Information. SIGMETRICS (Abstracts) (2022)
Tyler Sam, Yudong Chen, Christina Lee Yu
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. CoRR (2022)
Christina Lee Yu
Nonparametric Matrix Estimation with One-Sided Covariates. ISIT (2022)
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
Exploiting neighborhood interference with low order interactions under unit randomized design. CoRR (2022)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization in Online Reinforcement Learning. CoRR (2021)
Christina Lee Yu
Nonparametric Matrix Estimation with One-Sided Covariates. CoRR (2021)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve. CoRR (2021)
Devavrat Shah, Guy Bresler, John C. Duchi, Po-Ling Loh, Yihong Wu, Christina Lee Yu
Editorial. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Christina Lee Yu
Tensor Estimation with Nearly Linear Samples. CoRR (2020)
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Model-Based Reinforcement Learning. CoRR (2020)
Yihua Li, Devavrat Shah, Dogyoon Song, Christina Lee Yu
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model. IEEE Trans. Inf. Theory 66 (3) (2020)
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Model-Based Reinforcement Learning. NeurIPS (2020)
Asuman E. Ozdaglar, Devavrat Shah, Christina Lee Yu
Asynchronous Approximation of a Single Component of the Solution to a Linear System. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. SIGMETRICS (Abstracts) (2020)
Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu
Sequential Fair Allocation of Limited Resources under Stochastic Demands. CoRR (2020)
Devavrat Shah, Christina Lee Yu
Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. ISIT (2019)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. Proc. ACM Meas. Anal. Comput. Syst. 3 (3) (2019)
Devavrat Shah, Christina Lee Yu
Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. CoRR (2019)
Devavrat Shah, Christina Lee Yu
Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. Allerton (2019)
Nirandika Wanigasekara, Christina Lee Yu
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric. NeurIPS (2019)
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces. CoRR (2019)
Nirandika Wanigasekara, Christina Lee Yu
Nonparametric Contextual Bandits in an Unknown Metric Space. CoRR (2019)