Ryan J. Tibshirani
12 papers · 2015–2026 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
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Keyword Collector
(67)
Venues
Top co-authors
Research topics
Keywords
integral probability metric
(2)
gradient equilibrium
(2)
convex optimization
(2)
two-sample test
(2)
ridge regression
(1)
sample complexity
(1)
spectral clustering
(1)
regret minimization
(1)
uncertainty quantification
(1)
random walk
(1)
model aggregation
(1)
quantile regression
(1)
nonparametric regression
(1)
online optimization
(1)
convex loss
(1)
piecewise constant signals
(1)
boosting method
(1)
distribution shift
(1)
matrix completion
(1)
sparse estimation
(1)
Papers
Blackwell Approachability and Gradient Equilibrium are Equivalent
COLT 2026
Sample-Efficient Omniprediction for Proper Losses
COLT 2026
Gradient Equilibrium in Online Learning: Theory and Applications
JMLR 2025
Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
JMLR 2025
Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method
JMLR 2025
Flexible Model Aggregation for Quantile Regression
JMLR 2023
Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs
JMLR 2021
A Continuous-Time View of Early Stopping for Least Squares Regression
AISTATS 2019
A Higher-Order Kolmogorov-Smirnov Test
AISTATS 2019
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
JMLR 2018
Trend Filtering on Graphs
JMLR 2016
A General Framework for Fast Stagewise Algorithms
JMLR 2015