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02/08/2022
The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting
The statistical machine learning community has demonstrated considerable...
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01/20/2022
Predictive Inference with Weak Supervision
The expense of acquiring labels in large-scale statistical machine learn...
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01/20/2022
Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization
Acceleration and momentum are the de facto standard in modern applicatio...
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12/29/2021
A comment and erratum on "Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE?"
We identify and correct an error in the paper "Excess Optimism: How Bias...
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03/03/2021
Minimum-Distortion Embedding
We consider the vector embedding problem. We are given a finite set of i...
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11/07/2020
Confidence bands for a log-concave density
We present a new approach for inference about a log-concave distribution...
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08/10/2020
Robust Validation: Confident Predictions Even When Distributions Shift
While the traditional viewpoint in machine learning and statistics assum...
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03/17/2020
The Implicit Regularization of Stochastic Gradient Flow for Least Squares
We study the implicit regularization of mini-batch stochastic gradient d...
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10/23/2018
A Continuous-Time View of Early Stopping for Least Squares Regression
We study the statistical properties of the iterates generated by gradien...
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05/20/2018
The Generalized Lasso Problem and Uniqueness
We study uniqueness in the generalized lasso problem, where the penalty ...
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10/30/2017