Artículos con órdenes de acceso público - Lorenzo OrecchiaMás información
Disponibles en algún lugar: 10
An almost-linear-time algorithm for approximate max flow in undirected graphs, and its multicommodity generalizations
JA Kelner, YT Lee, L Orecchia, A Sidford
Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014
Órdenes: Research Grants Council, Hong Kong
The approximate duality gap technique: A unified theory of first-order methods
J Diakonikolas, L Orecchia
SIAM Journal on Optimization 29 (1), 660-689, 2019
Órdenes: US National Science Foundation
On acceleration with noise-corrupted gradients
M Cohen, J Diakonikolas, L Orecchia
International Conference on Machine Learning, 1019-1028, 2018
Órdenes: US National Science Foundation
Using optimization to obtain a width-independent, parallel, simpler, and faster positive SDP solver
Z Allen-Zhu, YT Lee, L Orecchia
Proceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete …, 2016
Órdenes: US National Science Foundation
Alternating randomized block coordinate descent
J Diakonikolas, L Orecchia
International Conference on Machine Learning, 1224-1232, 2018
Órdenes: US National Science Foundation
Fair packing and covering on a relative scale
J Diakonikolas, M Fazel, L Orecchia
SIAM Journal on Optimization 30 (4), 3284-3314, 2020
Órdenes: US National Science Foundation, US Department of Defense
Expanders via local edge flips
Z Allen-Zhu, A Bhaskara, S Lattanzi, V Mirrokni, L Orecchia
Proceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete …, 2016
Órdenes: US National Science Foundation
Connected subgraph detection with mirror descent on SDPs
C Aksoylar, L Orecchia, V Saligrama
International Conference on Machine Learning, 51-59, 2017
Órdenes: US National Science Foundation, US Department of Defense
The approximate gap technique: A unified approach to optimal first-order methods
J Diakonikolas, L Orecchia
arXiv preprint arXiv:1712.02485, 2017
Órdenes: US National Science Foundation
Accelerated extra-gradient descent: a novel accelerated first-order method
L Orecchia, J Diakonikolas
Órdenes: US National Science Foundation
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