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Christina Lee Yu

Orcid: 0000-0002-2165-5220

According to our database¹, Christina Lee Yu authored at least 35 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

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PhD thesis

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Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2024

Detection of small holes by the scale-invariant robust density-aware distance (RDAD) filtration.

[BibT_eX]

[DOI]

,

Gennady Samorodnitsky

,

Christina Lee Yu

,

J. Appl. Comput. Topol., October, 2024

The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure.

[BibT_eX]

[DOI]

,

,

Christina Lee Yu

CoRR, 2024

Entry-Specific Matrix Estimation under Arbitrary Sampling Patterns through the Lens of Network Flows.

[BibT_eX]

[DOI]

,

,

Christina Lee Yu

CoRR, 2024

Combining Rollout Designs and Clustering for Causal Inference under Low-order Interference.

[BibT_eX]

[DOI]

Mayleen Cortez-Rodriguez

,

Matthew Eichhorn

,

Christina Lee Yu

CoRR, 2024

Information-Theoretic Generalization Bounds for Deep Neural Networks.

[BibT_eX]

[DOI]

,

Christina Lee Yu

,

CoRR, 2024

Hierarchical Generalization Bounds for Deep Neural Networks.

[BibT_eX]

[DOI]

,

Christina Lee Yu

,

Proceedings of the IEEE International Symposium on Information Theory, 2024

The SMART approach to instance-optimal online learning.

[BibT_eX]

[DOI]

Siddhartha Banerjee

,

Alankrita Bhatt

,

Christina Lee Yu

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Robust Max Entrywise Error Bounds for Tensor Estimation From Sparse Observations via Similarity-Based Collaborative Filtering.

[BibT_eX]

[DOI]

,

Christina Lee Yu

IEEE Trans. Inf. Theory, May, 2023

Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure.

[BibT_eX]

[DOI]

,

,

Christina Lee Yu

Proc. ACM Meas. Anal. Comput. Syst., 2023

Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Trade-off Curve.

[BibT_eX]

[DOI]

Sean R. Sinclair

,

,

Siddhartha Banerjee

,

Christina Lee Yu

Oper. Res., 2023

Adaptive Discretization in Online Reinforcement Learning.

[BibT_eX]

[DOI]

Sean R. Sinclair

,

Siddhartha Banerjee

,

Christina Lee Yu

Oper. Res., 2023

Faster Rates for Switchback Experiments.

[BibT_eX]

[DOI]

,

Sohom Bhattacharya

,

,

Christina Lee Yu

CoRR, 2023

Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure.

[BibT_eX]

[DOI]

,

Christina Lee Yu

,

CoRR, 2023

Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling.

[BibT_eX]

[DOI]

,

Christina Lee Yu

,

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Iterative Collaborative Filtering for Sparse Matrix Estimation.

[BibT_eX]

[DOI]

Christian Borgs

,

Jennifer T. Chayes

,

,

Christina Lee Yu

Oper. Res., November, 2022

ORSuite: Benchmarking Suite for Sequential Operations Models.

[BibT_eX]

[DOI]

Christopher Archer

,

Siddhartha Banerjee

,

,

,

Sean R. Sinclair

,

,

,

Christina Lee Yu

SIGMETRICS Perform. Evaluation Rev., 2022

Tensor Completion with Nearly Linear Samples Given Weak Side Information.

[BibT_eX]

[DOI]

Christina Lee Yu

,

Proc. ACM Meas. Anal. Comput. Syst., 2022

Network Synthetic Interventions: A Framework for Panel Data with Network Interference.

[BibT_eX]

[DOI]

,

,

,

Christina Lee Yu

CoRR, 2022

Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits.

[BibT_eX]

[DOI]

Siddhartha Banerjee

,

Sean R. Sinclair

,

,

,

Christina Lee Yu

CoRR, 2022

Exploiting neighborhood interference with low order interactions under unit randomized design.

[BibT_eX]

[DOI]

,

Matthew Eichhorn

,

Christina Lee Yu

CoRR, 2022

Graph Agnostic Estimators with Staggered Rollout Designs under Network Interference.

[BibT_eX]

[DOI]

,

Matthew Eichhorn

,

Christina Lee Yu

CoRR, 2022

Graph Agnostic Randomized Experimental Design.

[BibT_eX]

[DOI]

Christina Lee Yu

,

Edoardo M. Airoldi

,

Christian Borgs

,

Jennifer T. Chayes

CoRR, 2022

Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve.

[BibT_eX]

[DOI]

Sean R. Sinclair

,

Siddhartha Banerjee

,

Christina Lee Yu

Proceedings of the SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6, 2022

Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge.

[BibT_eX]

[DOI]

,

Matthew Eichhorn

,

Christina Lee Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nonparametric Matrix Estimation with One-Sided Covariates.

[BibT_eX]

[DOI]

Christina Lee Yu

Proceedings of the IEEE International Symposium on Information Theory, 2022

2020

Asynchronous Approximation of a Single Component of the Solution to a Linear System.

[BibT_eX]

[DOI]

Asuman E. Ozdaglar

,

,

Christina Lee Yu

IEEE Trans. Netw. Sci. Eng., 2020

Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model.

[BibT_eX]

[DOI]

,

,

,

Christina Lee Yu

IEEE Trans. Inf. Theory, 2020

Editorial.

[BibT_eX]

[DOI]

,

,

,

,

,

Christina Lee Yu

IEEE J. Sel. Areas Inf. Theory, 2020

Sequential Fair Allocation of Limited Resources under Stochastic Demands.

[BibT_eX]

[DOI]

Sean R. Sinclair

,

,

Siddhartha Banerjee

,

Christina Lee Yu

CoRR, 2020

Tensor Estimation with Nearly Linear Samples.

[BibT_eX]

[DOI]

Christina Lee Yu

CoRR, 2020

Adaptive Discretization for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Sean R. Sinclair

,

,

,

Siddhartha Banerjee

,

Christina Lee Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces.

[BibT_eX]

[DOI]

Sean R. Sinclair

,

Siddhartha Banerjee

,

Christina Lee Yu

Proc. ACM Meas. Anal. Comput. Syst., 2019

Nonparametric Contextual Bandits in an Unknown Metric Space.

[BibT_eX]

[DOI]

Nirandika Wanigasekara

,

Christina Lee Yu

CoRR, 2019

Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric.

[BibT_eX]

[DOI]

Nirandika Wanigasekara

,

Christina Lee Yu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation.

[BibT_eX]

[DOI]

,

Christina Lee Yu

Proceedings of the IEEE International Symposium on Information Theory, 2019

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