146 citations · 189 across the 26 of their papers we have counts for
Showing 2017 · cs.LGShow all
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cs.LG2017★ 6 cited
Approximate Supermodularity Bounds for Experimental Design
Luiz F. O. Chamon, Alejandro Ribeiro
This work provides performance guarantees for the greedy solution of experimental design problems. In particular, it focuses on A- and E-optimal designs, for which typical guarante…
cs.LG2017
Convolutional Neural Networks Via Node-Varying Graph Filters
Fernando Gama, Geert Leus, Antonio G. Marques +1
Convolutional neural networks (CNNs) are being applied to an increasing number of problems and fields due to their superior performance in classification and regression tasks. Sinc…
cs.LG2017★ 3 cited
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari, Alejandro Ribeiro
This paper studies empirical risk minimization (ERM) problems for large-scale datasets and incorporates the idea of adaptive sample size methods to improve the guaranteed convergen…