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07/26/2022
Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain
In this paper, we study the problem of estimating the autocovariance seq...
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03/16/2022
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction
Datacenters execute large computational jobs, which are composed of smal...
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05/17/2021
Convergence guarantee for the sparse monotone single index model
We consider a high-dimensional monotone single index model (hdSIM), whic...
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03/25/2021
Prediction in the presence of response-dependent missing labels
In a variety of settings, limitations of sensing technologies or other s...
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10/06/2019
Convex and Non-convex Approaches for Statistical Inference with Noisy Labels
We study the problem of estimation and testing in logistic regression wi...
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08/13/2019
The bias of isotonic regression
We study the bias of the isotonic regression estimator. While there is e...
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11/22/2017