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Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities


Jun 06, 2022
Ankit Pensia, Varun Jog, Po-Ling Loh

* A shorter version of this article will appear in ISIT 2022 

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On the identifiability of mixtures of ranking models


Jan 31, 2022
Xiaomin Zhang, Xucheng Zhang, Po-Ling Loh, Yingyu Liang

* 43 pages, 2 tables. Comments are very welcome 

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Differentially private inference via noisy optimization


Mar 19, 2021
Marco Avella-Medina, Casey Bradshaw, Po-Ling Loh


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Robust W-GAN-Based Estimation Under Wasserstein Contamination


Jan 20, 2021
Zheng Liu, Po-Ling Loh


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Robust regression with covariate filtering: Heavy tails and adversarial contamination


Sep 27, 2020
Ankit Pensia, Varun Jog, Po-Ling Loh


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Theory of Machine Learning Debugging via M-estimation


Jun 16, 2020
Xiaomin Zhang, Xiaojin Zhu, Po-Ling Loh


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Boosting Algorithms for Estimating Optimal Individualized Treatment Rules


Jan 31, 2020
Duzhe Wang, Haoda Fu, Po-Ling Loh


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Extracting robust and accurate features via a robust information bottleneck


Oct 15, 2019
Ankit Pensia, Varun Jog, Po-Ling Loh

* A version of this paper was submitted to IEEE Journal on Selected Areas in Information Theory (JSAIT) 

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Robustifying deep networks for image segmentation


Aug 01, 2019
Zheng Liu, Jinnian Zhang, Varun Jog, Po-Ling Loh, Alan B McMillan


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Estimating location parameters in entangled single-sample distributions


Jul 06, 2019
Ankit Pensia, Varun Jog, Po-Ling Loh


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