Larry Wasserman
35 papers · 2007–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Conference Polyglot (5)
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Conference Polyglot
(5)
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Renaissance Researcher
(5)
π§
Keyword Pioneer
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Keyword Trendsetter Combo
(6)
π±
Topic Pioneer
π
Keyword Champion
(2)
π¬
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)
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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
Familywise Error Rate Control by Interactive Unmasking
ICML 2020
PLLay: Efficient Topological Layer based on Persistent Landscapes
NIPS 2020
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
ICML 2019
Robust Topological Inference: Distance To a Measure and Kernel Distance
JMLR 2018
Statistical Inference for Cluster Trees
NIPS 2016
On Estimating L_2^2 Divergence
AISTATS 2015
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
NIPS 2015
Optimal Ridge Detection using Coverage Risk
NIPS 2015
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures
AISTATS 2015
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives
AISTATS 2015
Subsampling Methods for Persistent Homology
ICML 2015
Statistical Analysis of Metric Graph Reconstruction
JMLR 2014
An Analysis of Active Learning with Uniform Feature Noise
AISTATS 2014
Nonparametric Estimation of Renyi Divergence and Friends
ICML 2014
Cluster Trees on Manifolds
NIPS 2013
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation
NIPS 2013
Distribution-Free Distribution Regression
AISTATS 2013
Differential Privacy for Functions and Functional Data
JMLR 2013
Minimax rates for homology inference
AISTATS 2012
Stability of Density-Based Clustering
JMLR 2012
The huge Package for High-dimensional Undirected Graph Estimation in R
JMLR 2012
Minimax Manifold Estimation
JMLR 2012
A Comparison of the Lasso and Marginal Regression
JMLR 2012
Exponential Concentration for Mutual Information Estimation with Application to Forests
NIPS 2012
Union Support Recovery in Multi-task Learning
JMLR 2011
Forest Density Estimation
JMLR 2011
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models
NIPS 2010
Graph-Valued Regression
NIPS 2010
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
JMLR 2009
Nonparametric regression and classification with joint sparsity constraints
NIPS 2008
SpAM: Sparse Additive Models
NIPS 2007
Compressed Regression
NIPS 2007
Statistical Analysis of Semi-Supervised Regression
NIPS 2007