Wasserman, Larry A.

13 publications

NeurIPS 2024 Hierarchical and Density-Based Causal Clustering Kwangho Kim, Jisu Kim, Larry A. Wasserman, Edward H. Kennedy

AISTATS 2015 Efficient Sparse Clustering of High-Dimensional Non-Spherical Gaussian Mixtures Martin Azizyan, Aarti Singh, Larry A. Wasserman

AISTATS 2015 On Estimating L22 Divergence Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabás Póczos, Larry A. Wasserman

AAAI 2015 On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions Aaditya Ramdas, Sashank Jakkam Reddi, Barnabás Póczos, Aarti Singh, Larry A. Wasserman

AISTATS 2015 On the High Dimensional Power of a Linear-Time Two Sample Test Under Mean-Shift Alternatives Sashank J. Reddi, Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman

AISTATS 2014 An Analysis of Active Learning with Uniform Feature Noise Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman

AISTATS 2013 Distribution-Free Distribution Regression Barnabás Póczos, Aarti Singh, Alessandro Rinaldo, Larry A. Wasserman

ICML 2012 High Dimensional Semiparametric Gaussian Copula Graphical Models Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman

COLT 2010 Forest Density Estimation Anupam Gupta, John D. Lafferty, Han Liu, Larry A. Wasserman, Min Xu

MLJ 2010 Time Varying Undirected Graphs Shuheng Zhou, John D. Lafferty, Larry A. Wasserman

COLT 2008 Time Varying Undirected Graphs Shuheng Zhou, John D. Lafferty, Larry A. Wasserman

UAI 2001 Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk John D. Lafferty, Larry A. Wasserman

UAI 1997 Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs James M. Robins, Larry A. Wasserman