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Amir Daneshmand
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Journal Articles
- 2022
- [j4]Ying Sun, Gesualdo Scutari, Amir Daneshmand:
Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation. SIAM J. Optim. 32(2): 354-385 (2022) - 2020
- [j3]Amir Daneshmand, Gesualdo Scutari
, Vyacheslav Kungurtsev
:
Second-Order Guarantees of Distributed Gradient Algorithms. SIAM J. Optim. 30(4): 3029-3068 (2020) - 2019
- [j2]Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler:
Decentralized Dictionary Learning Over Time-Varying Digraphs. J. Mach. Learn. Res. 20: 139:1-139:62 (2019) - 2015
- [j1]Amir Daneshmand, Francisco Facchinei
, Vyacheslav Kungurtsev
, Gesualdo Scutari:
Hybrid Random/Deterministic Parallel Algorithms for Convex and Nonconvex Big Data Optimization. IEEE Trans. Signal Process. 63(15): 3914-3929 (2015)
Conference and Workshop Papers
- 2021
- [c6]Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov
, Aleksandr Lukashevich, Amir Daneshmand:
An Accelerated Second-Order Method for Distributed Stochastic Optimization. CDC 2021: 2407-2413 - [c5]Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov:
Newton Method over Networks is Fast up to the Statistical Precision. ICML 2021: 2398-2409 - 2018
- [c4]Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev
:
Second-order Guarantees of Gradient Algorithms over Networks. Allerton 2018: 359-365 - 2017
- [c3]Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei:
D2L: Decentralized dictionary learning over dynamic networks. ICASSP 2017: 4084-4088 - 2016
- [c2]Amir Daneshmand, Gesualdo Scutari, Francisco Facchinei:
Distributed dictionary learning. ACSSC 2016: 1001-1005 - 2014
- [c1]Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev
, Gesualdo Scutari:
Flexible selective parallel algorithms for big data optimization. ACSSC 2014: 3-7
Informal and Other Publications
- 2021
- [i6]Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov:
Newton Method over Networks is Fast up to the Statistical Precision. CoRR abs/2102.06780 (2021) - 2019
- [i5]Ying Sun, Amir Daneshmand, Gesualdo Scutari:
Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking. CoRR abs/1905.02637 (2019) - 2018
- [i4]Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler:
Decentralized Dictionary Learning Over Time-Varying Digraphs. CoRR abs/1808.05933 (2018) - [i3]Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev:
Second-order Guarantees of Distributed Gradient Algorithms. CoRR abs/1809.08694 (2018) - 2016
- [i2]Amir Daneshmand, Gesualdo Scutari, Francisco Facchinei:
Distributed Dictionary Learning. CoRR abs/1612.07335 (2016) - 2014
- [i1]Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari:
Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization. CoRR abs/1407.4504 (2014)
Coauthor Index
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