Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering von Shah, Devavrat, Yu, Christina Lee

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Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model von Li, Yihua, Shah, Devavrat, Song, Dogyoon, Yu, Christina Lee

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Asynchronous Approximation of a Single Component of the Solution to a Linear System von Ozdaglar, Asuman, Shah, Devavrat, Yu, Christina Lee

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Exploiting neighborhood interference with low-order interactions under unit randomized design von Cortez-Rodriguez, Mayleen, Eichhorn, Matthew, Yu, Christina Lee

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The "not so good" thyroid cancer: a scoping review on risk factors associated with anxiety, depression and quality of life von Alexander, Kyle, Lee, Sum-Yu Christina, Georgiades, Stelios, Constantinou, Constantina

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Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling von Xi, Xumei, Christina Lee Yu, Chen, Yudong

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Estimating the total treatment effect in randomized experiments with unknown network structure von Yu, Christina Lee, Airoldi, Edoardo M., Borgs, Christian, Chayes, Jennifer T.

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Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering von Shah, Devavrat, Christina Lee Yu

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Adaptive Discretization in Online Reinforcement Learning von Sinclair, Sean R., Banerjee, Siddhartha, Yu, Christina Lee

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Tensor Completion with Nearly Linear Samples Given Weak Side Information von Yu, Christina Lee, Xi, Xumei

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Detection of Small Holes by the Scale-Invariant Robust Density-Aware Distance (RDAD) Filtration von Siu, Chunyin, Samorodnitsky, Gennady, Christina Lee Yu, Yao, Andrey

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Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Trade-off Curve von Sinclair, Sean R., Jain, Gauri, Banerjee, Siddhartha, Yu, Christina Lee

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Exploiting Neighborhood Interference with Low Order Interactions under Unit Randomized Design von Cortez-Rodriguez, Mayleen, Eichhorn, Matthew, Christina Lee Yu

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Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure von Sam, Tyler, Chen, Yudong, Yu, Christina Lee

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Iterative Collaborative Filtering for Sparse Matrix Estimation von Borgs, Christian, Chayes, Jennifer T., Shah, Devavrat, Yu, Christina Lee

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ORSuite: Benchmarking Suite for Sequential Operations Models von Archer, Christopher, Banerjee, Siddhartha, Cortez, Mayleen, Rucker, Carrie, Sinclair, Sean R., Solberg, Max, Xie, Qiaomin, Lee Yu, Christina

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Adaptive Discretization in Online Reinforcement Learning von Sinclair, Sean R, Banerjee, Siddhartha, Christina Lee Yu

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Estimating Total Treatment Effect in Randomized Experiments with Unknown Network Structure von Christina Lee Yu, Airoldi, Edoardo M, Borgs, Christian, Chayes, Jennifer T

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Detection of small holes by the scale-invariant robust density-aware distance (RDAD) filtration von Siu, Chunyin, Samorodnitsky, Gennady, Yu, Christina Lee, Yao, Andrey

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Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces von Sinclair, Sean R., Banerjee, Siddhartha, Yu, Christina Lee

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