598 citations · 1.6k across the 66 of their papers we have counts for
4 papers · 2 filters
Sparse Quantized Spectral Clustering
Zhenyu Liao, Romain Couillet, Michael W. Mahoney
Given a large data matrix, sparsifying, quantizing, and/or performing other entry-wise nonlinear operations can have numerous benefits, ranging from speeding up iterative algorithm…
Large Dimensional Analysis and Improvement of Multi Task Learning
Malik Tiomoko, Romain Couillet, Hafiz Tiomoko
Multi Task Learning (MTL) efficiently leverages useful information contained in multiple related tasks to help improve the generalization performance of all tasks. This article con…
A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent
Zhenyu Liao, Romain Couillet, Michael W. Mahoney
This article characterizes the exact asymptotics of random Fourier feature (RFF) regression, in the realistic setting where the number of data samples , their dimension , and…
A unified framework for spectral clustering in sparse graphs
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
This article considers spectral community detection in the regime of sparse networks with heterogeneous degree distributions, for which we devise an algorithm to efficiently retrie…