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R. Willett

37 papers hereh-index 429k citations228 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author12
  • last author23

Across the 36 of 37 papers where every author was matched, so the position is known.

fields
  • stat.ML15
  • cs.LG5
  • cs.CV4
  • eess.IV3
  • math.ST3
  • stat.ME3
same name
  • R. Willett — 22 papers, h 23
  • R. Willett — 6 papers, h 4
  • R. Willett — 5 papers, h 25

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092026
most citedAlgebraic Variety Models for High-Rank Matrix Completion

32 citations · 200 across the 24 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2023

Integrating Uncertainty Awareness into Conformalized Quantile Regression

Raphael Rossellini, Rina Foygel Barber, Rebecca Willett

Conformalized Quantile Regression (CQR) is a recently proposed method for constructing prediction intervals for a response Y given covariates X, without making distributional a…

stat.ME2020★ 3 cited

Functional Autoregressive Processes in Reproducing Kernel Hilbert Spaces

Daren Wang, Zifeng Zhao, Rebecca Willett +1

We study the estimation and prediction of functional autoregressive~(FAR) processes, a statistical tool for modeling functional time series data. Due to the infinite-dimensional na…

stat.ME2020

Localizing Changes in High-Dimensional Regression Models

Alessandro Rinaldo, Daren Wang, Qin Wen +2

This paper addresses the problem of localizing change points in high-dimensional linear regression models with piecewise constant regression coefficients. We develop a dynamic prog…

stat.ME2020★ 1 cited

Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes

Daren Wang, Yi Yu, Rebecca Willett

High-dimensional self-exciting point processes have been widely used in many application areas to model discrete event data in which past and current events affect the likelihood o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.