Ryan J Tibshirani
9 papers · 2016–2023 · 1 venue · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird π Keyword Champion (2)
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Keyword Collector
(51)
Venues
Top co-authors
Research topics
Keywords
conformal prediction
(3)
function estimation
(2)
total variation
(2)
uncertainty quantification
(2)
fused lasso
(2)
nonparametric estimation
(1)
nonparametric statistics
(1)
sparse estimation
(1)
quantile regression
(1)
kalman filter
(1)
change detection
(1)
state estimation
(1)
covariate shift
(1)
time series forecasting
(1)
minimax theory
(1)
coordinate descent
(1)
distribution shift
(1)
sensor fusion
(1)
conditional independence
(1)
convex optimization
(1)
Papers
Class-Conditional Conformal Prediction with Many Classes
NeurIPS 2023
Conformal PID Control for Time Series Prediction
NeurIPS 2023
Conformal Prediction Under Covariate Shift
NeurIPS 2019
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights
NeurIPS 2019
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
NeurIPS 2017
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions
NeurIPS 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
NeurIPS 2017
The Multiple Quantile Graphical Model
NeurIPS 2016
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
NeurIPS 2016