Ryan J. Tibshirani
10 papers · 2015–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (16)
π
Conference Polyglot
(2)
π
Academic Marathon
(10)
π
Century Club
(10)
ποΈ
Keyword Collector
(59)
Conferences
JMLR (8)
AISTATS (2)
Top co-authors
Keywords
two-sample test
(2)
integral probability metric
(2)
convex optimization
(2)
spectral clustering
(1)
ridge regression
(1)
sparse estimation
(1)
uncertainty quantification
(1)
random walk
(1)
statistical risk
(1)
quantile regression
(1)
nonparametric regression
(1)
piecewise constant signals
(1)
convex loss
(1)
distribution shift
(1)
sparse modeling
(1)
matrix completion
(1)
distribution testing
(1)
total variation
(1)
model aggregation
(1)
conformal prediction
(1)
Papers
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