410 citations · 4.5k across the 91 of their papers we have counts for
3 papers · 2 filters
Hierarchical Quasi-Clustering Methods for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1
This paper introduces hierarchical quasi-clustering methods, a generalization of hierarchical clustering for asymmetric networks where the output structure preserves the asymmetry…
A Quasi-Newton Method for Large Scale Support Vector Machines
Aryan Mokhtari, Alejandro Ribeiro
This paper adapts a recently developed regularized stochastic version of the Broyden, Fletcher, Goldfarb, and Shanno (BFGS) quasi-Newton method for the solution of support vector m…
RES: Regularized Stochastic BFGS Algorithm
Aryan Mokhtari, Alejandro Ribeiro
RES, a regularized stochastic version of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton method is proposed to solve convex optimization problems with stochastic objective…