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papers

Publications (17)

cs.CC2014

Query complexity of sampling and small geometric partitions

Navin Goyal, Luis Rademacher, Santosh Vempala

cs.CC2008

Dispersion of Mass and the Complexity of Randomized Geometric Algorithms

Luis Rademacher, Santosh Vempala

cs.DS2011

Lower Bounds for the Average and Smoothed Number of Pareto Optima

Navin Goyal, Luis Rademacher

cs.LG2015

A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA

James Voss, Mikhail Belkin, Luis Rademacher

math.OC2017

The Minimum Euclidean-Norm Point on a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential

Jesus De Loera, Jamie Haddock, Luis Rademacher

cs.LG2014

The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures

Joseph Anderson, Mikhail Belkin, Navin Goyal +2

cs.LG2013

Blind Signal Separation in the Presence of Gaussian Noise

Mikhail Belkin, Luis Rademacher, James Voss

cs.DS2010

Efficient volume sampling for row/column subset selection

Amit Deshpande, Luis Rademacher

cs.DM2008

Expanders via Random Spanning Trees

Navin Goyal, Luis Rademacher, Santosh Vempala

cs.LG2016

The Hidden Convexity of Spectral Clustering

James Voss, Mikhail Belkin, Luis Rademacher

cs.LG2015

Heavy-tailed Independent Component Analysis

Joseph Anderson, Navin Goyal, Anupama Nandi +1

math.FA2014

A simplicial polytope that maximizes the isotropic constant must be a simplex

Luis Rademacher

cs.LG2013

Efficient learning of simplices

Joseph Anderson, Navin Goyal, Luis Rademacher

cs.LG2017

Heavy-Tailed Analogues of the Covariance Matrix for ICA

Joseph Anderson, Navin Goyal, Anupama Nandi +1

cs.LG2009

Learning convex bodies is hard

Navin Goyal, Luis Rademacher

cs.LG2018

Eigenvectors of Orthogonally Decomposable Functions

Mikhail Belkin, Luis Rademacher, James Voss

math.PR2010

On the monotonicity of the expected volume of a random simplex

Luis Rademacher