← Authors

Larry Wasserman

35 papers · 2007–2024 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (17) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (17) 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (6) 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (15) πŸ’Ž Century Club (35) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (79) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (10)

Conferences

NIPS (13) JMLR (11) AISTATS (6) ICML (4) CLEAR (1)

Top co-authors

Alessandro Rinaldo (9) Aarti Singh (8) Han Liu (8) BarnabΓ‘s PΓ³czos (6) John D. Lafferty (6) John Lafferty (4) Aaditya Ramdas (4) Frederic Chazal (3) Sivaraman Balakrishnan (3) Akshay Krishnamurthy (3)

Research topics

Statistics (4) Privacy (1) Probability (1)

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