Larry Wasserman
35 papers
· 2007–2024
· 5 conferences
· across top CS/AI conferences
Achievements
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Academic Marathon
(17)
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Cross-Pollinator
(13)
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Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(17)
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Conference Polyglot
(5)
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Renaissance Researcher
(5)
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Keyword Pioneer
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Keyword Trendsetter Combo
(6)
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Topic Pioneer
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Keyword Champion
(2)
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Deep Specialist
(15)
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Century Club
(35)
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Conference Pioneer
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Trend Setter
ποΈ
Keyword Collector
(79)
β‘
Prolific Year
(6)
π₯
Unstoppable
(10)
Conferences
NIPS (13)
JMLR (11)
AISTATS (6)
ICML (4)
CLEAR (1)
Top co-authors
Research topics
Keywords
density estimation
(8)
graphical model
(5)
topological data analysis
(4)
persistent homology
(3)
nonparametric regression
(3)
feature selection
(3)
nonparametric estimation
(3)
cluster tree
(3)
minimax risk
(2)
minimax theory
(2)
sparse additive model
(2)
kernel density estimation
(2)
learning theory
(2)
manifold learning
(2)
mutual information
(2)
hypothesis testing
(2)
multi-task learning
(2)
high-dimensional statistics
(2)
statistical learning
(2)
sample complexity
(2)
Papers
Decorrelated Variable Importance
JMLR 2024
Interactive rank testing by betting
CLEAR 2022
Statistical Inference for Cluster Trees
NIPS 2016
On Estimating L_2^2 Divergence
AISTATS 2015
Cluster Trees on Manifolds
NIPS 2013
Distribution-Free Distribution Regression
AISTATS 2013
Minimax rates for homology inference
AISTATS 2012
Stability of Density-Based Clustering
JMLR 2012
Minimax Manifold Estimation
JMLR 2012
Forest Density Estimation
JMLR 2011
Graph-Valued Regression
NIPS 2010
SpAM: Sparse Additive Models
NIPS 2007
Compressed Regression
NIPS 2007