| Linear coupling: An ultimate unification of gradient and mirror descent Z Allen-Zhu, L Orecchia arXiv preprint arXiv:1407.1537, 2014 | 390 | 2014 |
| 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 | 337 | 2014 |
| A simple, combinatorial algorithm for solving SDD systems in nearly-linear time JA Kelner, L Orecchia, A Sidford, ZA Zhu Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013 | 295 | 2013 |
| A local spectral method for graphs: With applications to improving graph partitions and exploring data graphs locally MW Mahoney, L Orecchia, NK Vishnoi The Journal of Machine Learning Research 13 (1), 2339-2365, 2012 | 139 | 2012 |
| Approximating the exponential, the lanczos method and an Õ(m)-time spectral algorithm for balanced separator L Orecchia, S Sachdeva, NK Vishnoi Proceedings of the forty-fourth annual ACM symposium on Theory of computing …, 2012 | 131 | 2012 |
| Spectral sparsification and regret minimization beyond matrix multiplicative updates Z Allen-Zhu, Z Liao, L Orecchia Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015 | 113 | 2015 |
| Flow-based algorithms for local graph clustering L Orecchia, ZA Zhu Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014 | 112 | 2014 |
| 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 | 106 | 2019 |
| On acceleration with noise-corrupted gradients M Cohen, J Diakonikolas, L Orecchia International Conference on Machine Learning, 1019-1028, 2018 | 104 | 2018 |
| On partitioning graphs via single commodity flows L Orecchia, LJ Schulman, UV Vazirani, NK Vishnoi Proceedings of the fortieth annual ACM symposium on Theory of computing, 461-470, 2008 | 104 | 2008 |
| 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 | 76 | 2016 |
| Nearly-linear time positive LP solver with faster convergence rate Z Allen-Zhu, L Orecchia Proceedings of the forty-seventh annual ACM symposium on Theory of Computing …, 2015 | 65* | 2015 |
| Localized techniques for broadcasting in wireless sensor networks L Orecchia, A Panconesi, C Petrioli, A Vitaletti Proceedings of the 2004 joint workshop on Foundations of mobile computing, 41-51, 2004 | 62 | 2004 |
| Accelerated extra-gradient descent: A novel accelerated first-order method J Diakonikolas, L Orecchia arXiv preprint arXiv:1706.04680, 2017 | 60 | 2017 |
| Using optimization to break the epsilon barrier: A faster and simpler width-independent algorithm for solving positive linear programs in parallel Z Allen-Zhu, L Orecchia Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014 | 58 | 2014 |
| Towards an SDP-based Approach to Spectral Methods: A Nearly-Linear-Time Algorithm for Graph Partitioning and Decomposition L Orecchia, NK Vishnoi Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011 | 57 | 2011 |
| Implementing regularization implicitly via approximate eigenvector computation MW Mahoney, L Orecchia arXiv preprint arXiv:1010.0703, 2010 | 46 | 2010 |
| Alternating randomized block coordinate descent J Diakonikolas, L Orecchia International Conference on Machine Learning, 1224-1232, 2018 | 40 | 2018 |
| Coding properties of Oxytricha trifallax (Sterkiella histriomuscorum) macronuclear chromosomes: analysis of a pilot genome project ARO Cavalcanti, NA Stover, L Orecchia, TG Doak, LF Landweber Chromosoma 113, 69-76, 2004 | 36 | 2004 |
| Nearly linear-time packing and covering lp solvers: Achieving width-independence and-convergence Z Allen-Zhu, L Orecchia Mathematical Programming 175, 307-353, 2019 | 35 | 2019 |
Zeyuan Allen-ZhuMeta AI / FAIR LabsVerified email at csail.mit.edu
