24 citations · 35 across the 10 of their papers we have counts for
3 papers · 1 filter
Entropic Independence II: Optimal Sampling and Concentration via Restricted Modified Log-Sobolev Inequalities
Nima Anari, Vishesh Jain, Frederic Koehler +2
We introduce a framework for obtaining tight mixing times for Markov chains based on what we call restricted modified log-Sobolev inequalities. Modified log-Sobolev inequalities (M…
Multidimensional Scaling: Approximation and Complexity
Erik Demaine, Adam Hesterberg, Frederic Koehler +2
Metric Multidimensional scaling (MDS) is a classical method for generating meaningful (non-linear) low-dimensional embeddings of high-dimensional data. MDS has a long history in th…
On the Power of Preconditioning in Sparse Linear Regression
Jonathan Kelner, Frederic Koehler, Raghu Meka +1
Sparse linear regression is a fundamental problem in high-dimensional statistics, but strikingly little is known about how to efficiently solve it without restrictive conditions on…