Larry Wasserman
Identifiers
- name variant Larry Wasserman 0.60 · backfill
Papers (106)
- Hybrid Wasserstein Distance and Fast Distribution Clustering stat.ME · 2018 · author #2
- Cautious Deep Learning stat.ML · 2018 · author #3
- Analysis of a Mode Clustering Diagram stat.ME · 2018 · author #2
- Robust Multivariate Nonparametric Tests via Projection-Averaging math.ST · 2018 · author #3
- Hypothesis Testing for High-Dimensional Multinomials: A Selective Review stat.ML · 2017 · author #2
- Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates math.ST · 2017 · author #2
- Estimating the Reach of a Manifold math.ST · 2017 · author #8
- Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference math.ST · 2016 · author #2
- Topological Data Analysis stat.ME · 2016 · author #1
- Least Ambiguous Set-Valued Classifiers with Bounded Error Levels stat.ME · 2016 · author #3
- Results from the 2014 November 15th multi-chord stellar occultation by the TNO (229762) 2007 UK$_{126}$ astro-ph.EP · 2016 · author #25
- Finding Singular Features stat.ME · 2016 · author #4
- Statistical Inference for Cluster Trees math.ST · 2016 · author #5
- Distribution-Free Predictive Inference For Regression stat.ME · 2016 · author #5
- Minimax Lower Bounds for Linear Independence Testing stat.ML · 2016 · author #4
- Statistical Analysis of Persistence Intensity Functions stat.ME · 2015 · author #4
- Cosmic Web Reconstruction through Density Ridges: Catalogue astro-ph.CO · 2015 · author #7
- Detecting Effects of Filaments on Galaxy Properties in the Sloan Digital Sky Survey III astro-ph.GA · 2015 · author #9
- Investigating Galaxy-Filament Alignments in Hydrodynamic Simulations using Density Ridges astro-ph.CO · 2015 · author #9
- Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing math.ST · 2015 · author #5
- Statistical Inference using the Morse-Smale Complex math.ST · 2015 · author #3
- Uniform Asymptotic Inference and the Bootstrap After Model Selection math.ST · 2015 · author #4
- Optimal Ridge Detection using Coverage Risk stat.ME · 2015 · author #4
- An Analysis of Active Learning With Uniform Feature Noise stat.ML · 2015 · author #4
- Risk Bounds For Mode Clustering math.ST · 2015 · author #4
- Density Level Sets: Asymptotics, Inference, and Visualization stat.ME · 2015 · author #3
- Cosmic Web Reconstruction through Density Ridges: Method and Algorithm astro-ph.CO · 2015 · author #5
- Robust Topological Inference: Distance To a Measure and Kernel Distance math.ST · 2014 · author #6
- Nonparametric modal regression stat.ME · 2014 · author #4
- On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives math.ST · 2014 · author #5
- Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations stat.ML · 2014 · author #4
- On Estimating $L_2^2$ Divergence stat.ML · 2014 · author #4
- The functional mean-shift algorithm for mode hunting and clustering in infinite dimensions stat.ME · 2014 · author #4
- Estimating the distribution of Galaxy Morphologies on a continuous space astro-ph.GA · 2014 · author #4
- Asymptotic theory for density ridges stat.ME · 2014 · author #3
- Feature Selection For High-Dimensional Clustering math.ST · 2014 · author #1
- Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures math.ST · 2014 · author #3
- On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions stat.ML · 2014 · author #5
- Subsampling Methods for Persistent Homology math.AT · 2014 · author #6
- Generalized Mode and Ridge Estimation stat.ME · 2014 · author #3
- A Comprehensive Approach to Mode Clustering stat.ME · 2014 · author #3
- Discussion: "A significance test for the lasso" math.ST · 2014 · author #1
- Functional Regression for Quasar Spectra stat.ME · 2014 · author #7
- Nonparametric Estimation of Renyi Divergence and Friends stat.ML · 2014 · author #4
- Nonparametric 3D map of the IGM using the Lyman-alpha forest astro-ph.IM · 2014 · author #7
- Nonparametric Inference For Density Modes stat.ME · 2013 · author #4
- Uncertainty Measures and Limiting Distributions for Filament Estimation stat.ME · 2013 · author #3
- Stochastic Convergence of Persistence Landscapes and Silhouettes math.ST · 2013 · author #5
- On the Bootstrap for Persistence Diagrams and Landscapes math.AT · 2013 · author #6
- Orbital Parameters for the Two Young Binaries VSB 111 and VSB 126 astro-ph.SR · 2013 · author #3
- Estimating Undirected Graphs Under Weak Assumptions math.ST · 2013 · author #1
- Tight Lower Bounds for Homology Inference stat.ML · 2013 · author #4
- Cluster Trees on Manifolds stat.ML · 2013 · author #5
- Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation stat.ML · 2013 · author #3
- Statistical Analysis of Metric Graph Reconstruction math.ST · 2013 · author #3
- Confidence sets for persistence diagrams math.ST · 2013 · author #4
- A Conformal Prediction Approach to Explore Functional Data stat.ML · 2013 · author #3
- Distribution-Free Distribution Regression stat.ML · 2013 · author #4
- Nonparametric ridge estimation math.ST · 2012 · author #4
- Density-sensitive semisupervised inference math.ST · 2012 · author #3
- Distribution Free Prediction Bands stat.ME · 2012 · author #2
- Differential Privacy for Functions and Functional Data stat.ML · 2012 · author #3
- High Dimensional Semiparametric Gaussian Copula Graphical Models stat.ML · 2012 · author #5
- Frasian Inference stat.ME · 2012 · author #1
- Sparse Nonparametric Graphical Models stat.ML · 2012 · author #3
- Minimax Rates for Homology Inference stat.ML · 2011 · author #5
- Random Differential Privacy stat.ME · 2011 · author #3
- Adaptive Semisupervised Inference math.ST · 2011 · author #3
- Efficient Nonparametric Conformal Prediction Regions math.ST · 2011 · author #3
- Manifold estimation and singular deconvolution under Hausdorff loss math.ST · 2011 · author #4
- An Unbiased Method of Modeling the Local Peculiar Velocity Field with Type Ia Supernovae astro-ph.CO · 2011 · author #3
- Stability of Density-Based Clustering stat.ML · 2010 · author #4
- Genome-Wide Significance Levels and Weighted Hypothesis Testing stat.ME · 2010 · author #2
- Union Support Recovery in Multi-task Learning stat.ML · 2010 · author #3
- Minimax Manifold Estimation stat.ML · 2010 · author #4
- Graph-Valued Regression stat.ML · 2010 · author #4
- Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models stat.ML · 2010 · author #3
- Unbiased Inclination Distributions for Objects in the Kuiper Belt astro-ph.EP · 2010 · author #7
- The Geometry of Nonparametric Filament Estimation math.ST · 2010 · author #4
- Structured, sparse regression with application to HIV drug resistance stat.ME · 2010 · author #4
- Forest Density Estimation stat.ML · 2010 · author #6
- Revisiting Marginal Regression math.ST · 2009 · author #3
- Generalized density clustering math.ST · 2009 · author #2
- The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs stat.ML · 2009 · author #3
- Differential Privacy with Compression stat.ML · 2009 · author #3
- A statistical framework for differential privacy math.ST · 2008 · author #1
- Spectral Connectivity Analysis stat.ME · 2008 · author #2
- Rejoinder of: Treelets--An adaptive multi-scale basis for spare unordered data stat.AP · 2008 · author #3
- On the path density of a gradient field math.ST · 2008 · author #4
- Inference for the dark energy equation of state using Type IA supernova data astro-ph · 2008 · author #3
- Discussion of: Statistical analysis of an archeological find stat.AP · 2008 · author #2
- Rodeo: Sparse, greedy nonparametric regression math.ST · 2008 · author #2
- Time Varying Undirected Graphs stat.ML · 2008 · author #3
- Sparse Additive Models math.ST · 2007 · author #4
- Treelets--An adaptive multi-scale basis for sparse unordered data stat.ME · 2007 · author #3
- Compressed Regression stat.ML · 2007 · author #3
- Mapping the Cosmological Confidence Ball Surface astro-ph · 2007 · author #6
- High-dimensional variable selection math.ST · 2007 · author #1
- Adaptive Confidence Bands math.ST · 2007 · author #2
- Improving power in genome-wide association studies: weights tip the scale math.ST · 2007 · author #3
- Correlation-sharing for detection of differential gene expression math.ST · 2006 · author #2
- Weighted Hypothesis Testing math.ST · 2006 · author #1
- Rodeo: Sparse Nonparametric Regression in High Dimensions math.ST · 2005 · author #2
- Confidence sets for nonparametric wavelet regression math.ST · 2005 · author #2
- A stochastic process approach to false discovery control math.ST · 2004 · author #2
- The nearby M-dwarf system Gliese 866 revisited astro-ph · 1999 · author #6
Mentions
- 1103.1603 #3 · backfill · confidence 0.70 Larry Wasserman
- 1011.2771 #4 · backfill · confidence 0.70 Larry Wasserman
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- 1008.5211 #3 · backfill · confidence 0.70 Larry Wasserman
- 1007.0549 #4 · backfill · confidence 0.70 Larry Wasserman
- 1006.3972 #4 · backfill · confidence 0.70 Larry Wasserman
- 1006.3316 #3 · backfill · confidence 0.70 Larry Wasserman
- 1005.1719 #7 · backfill · confidence 0.70 Larry Wasserman
- 1003.5536 #4 · backfill · confidence 0.70 Larry Wasserman
- 1002.3128 #4 · backfill · confidence 0.70 Larry Wasserman
- 1001.1557 #6 · backfill · confidence 0.70 Larry Wasserman
- 0911.4080 #3 · backfill · confidence 0.70 Larry Wasserman
- 0907.3454 #2 · backfill · confidence 0.70 Larry Wasserman
- 0903.0649 #3 · backfill · confidence 0.70 Larry Wasserman
- 0901.1365 #3 · backfill · confidence 0.70 Larry Wasserman
- 0811.2501 #1 · backfill · confidence 0.70 Larry Wasserman
- 0811.0121 #2 · backfill · confidence 0.70 Larry Wasserman
- 0807.4028 #3 · backfill · confidence 0.70 Larry Wasserman
- 0805.4141 #4 · backfill · confidence 0.70 Larry Wasserman
- 0805.4136 #3 · backfill · confidence 0.70 Larry Wasserman
- 0804.0095 #2 · backfill · confidence 0.70 Larry Wasserman
- 0803.1709 #2 · backfill · confidence 0.70 Larry Wasserman
- 0802.2758 #3 · backfill · confidence 0.70 Larry Wasserman
- 0711.4555 #4 · backfill · confidence 0.70 Larry Wasserman
- 0707.0481 #3 · backfill · confidence 0.70 Larry Wasserman
- 0706.0534 #3 · backfill · confidence 0.70 Larry Wasserman
- 0704.2605 #6 · backfill · confidence 0.70 Larry Wasserman
- 0704.1139 #1 · backfill · confidence 0.70 Larry Wasserman
Frequent Coauthors
- Alessandro Rinaldo 22 shared papers
- Christopher R. Genovese 19 shared papers
- Aarti Singh 18 shared papers
- Yen-Chi Chen 15 shared papers
- John Lafferty 11 shared papers
- Christopher Genovese 10 shared papers
- Isabella Verdinelli 9 shared papers
- Jing Lei 8 shared papers
- Sivaraman Balakrishnan 8 shared papers
- Barnabas Poczos 7 shared papers
- Han Liu 7 shared papers
- Marco Perone-Pacifico 7 shared papers
- Fabrizio Lecci 6 shared papers
- Kathryn Roeder 6 shared papers
- Martin Azizyan 6 shared papers
- Aaditya Ramdas 5 shared papers
- Peter E. Freeman 5 shared papers
- Shirley Ho 5 shared papers
- Brittany Terese Fasy 4 shared papers
- Fr\'ed\'eric Chazal 4 shared papers