59 citations · 124 across the 11 of their papers we have counts for
5 papers · 1 filter
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
Fangda Gu, Armin Askari, Laurent El Ghaoui
Despite the recent successes of deep neural networks, the corresponding training problem remains highly non-convex and difficult to optimize. Classes of models have been proposed t…
Greedy Frank-Wolfe Algorithm for Exemplar Selection
Gary Cheng, Armin Askari, Kannan Ramchandran +1
In this paper, we consider the problem of selecting representatives from a data set for arbitrary supervised/unsupervised learning tasks. We identify a subset of a data set …
Lifted Neural Networks
Armin Askari, Geoffrey Negiar, Rajiv Sambharya +1
We describe a novel family of models of multi- layer feedforward neural networks in which the activation functions are encoded via penalties in the training problem. Our approach i…
Kernel-based Outlier Detection using the Inverse Christoffel Function
Armin Askari, Forest Yang, Laurent El Ghaoui
Outlier detection methods have become increasingly relevant in recent years due to increased security concerns and because of its vast application to different fields. Recently, Pa…
Linearly Convergent Frank-Wolfe with Backtracking Line-Search
Fabian Pedregosa, Geoffrey Negiar, Armin Askari +1
Structured constraints in Machine Learning have recently brought the Frank-Wolfe (FW) family of algorithms back in the spotlight. While the classical FW algorithm has poor local co…