| Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation Y Sun, A Daneshmand, G Scutari SIAM Journal on Optimization 32 (2), 354-385, 2022 | 90 | 2022 |
| Hybrid random/deterministic parallel algorithms for convex and nonconvex big data optimization A Daneshmand, F Facchinei, V Kungurtsev, G Scutari IEEE Transactions on Signal Processing 63 (15), 3914-3929, 2015 | 79 | 2015 |
| Second-order guarantees of distributed gradient algorithms A Daneshmand, G Scutari, V Kungurtsev SIAM Journal on Optimization 30 (4), 3029-3068, 2020 | 66 | 2020 |
| Convergence rate of distributed optimization algorithms based on gradient tracking Y Sun, A Daneshmand, G Scutari arXiv preprint arXiv:1905.02637, 2019 | 63 | 2019 |
| Newton Method over Networks is Fast up to the Statistical Precision A Daneshmand, G Scutari, P Dvurechensky, A Gasnikov Proceedings of the 38th International Conference on Machine Learning (ICML …, 2021 | 22 | 2021 |
| An accelerated second-order method for distributed stochastic optimization A Agafonov, P Dvurechensky, G Scutari, A Gasnikov, D Kamzolov, ... 2021 60th IEEE Conference on Decision and Control (CDC), 2407-2413, 2021 | 21 | 2021 |
| Second-order guarantees of gradient algorithms over networks A Daneshmand, G Scutari, V Kungurtsev 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 17 | 2018 |
| Decentralized dictionary learning over time-varying digraphs A Daneshmand, Y Sun, G Scutari, F Facchinei, BM Sadler Journal of machine learning research 20 (139), 1-62, 2019 | 12 | 2019 |
| Distributed Dictionary Learning A Daneshmand, G Scutari, F Facchinei 2016 50th Asilomar Conference on Signals, Systems and Computers (ICASSP 2016 …, 2016 | 10 | 2016 |
| Convergence rate of distributed convex and nonconvex optimization methods with gradient tracking A Daneshmand, Y Sun, G Scutari Purdue University, West Lafayette, IN, USA, 2018 | 8 | 2018 |
| Flexible selective parallel algorithms for big data optimization A Daneshmand, F Facchinei, V Kungurtsev, G Scutari 2014 48th Asilomar Conference on Signals, Systems and Computers (ICASSP 2014 …, 2014 | 6 | 2014 |
| D2l: Decentralized dictionary learning over dynamic networks A Daneshmand, Y Sun, G Scutari, F Facchinei 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 5 | 2017 |
| Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation Y Sun, G Scutari, A Daneshmand SIAM Journal on Optimization 32 (2), 354-385, 2022 | | 2022 |
| Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation Y Sun, G Scutari, A Daneshmand SIAM Journal on Optimization 32 (2), 354-385, 2022 | | 2022 |
| PARALLEL AND DECENTRALIZED ALGORITHMS FOR BIG-DATA OPTIMIZATION OVER NETWORKS A Daneshmand Purdue University, 2021 | | 2021 |
| Distributed optimization based on gradient-tracking revisited: Enhancing convergence rate via surrogation Y Sun, A Daneshmand, G Scutari arXiv preprint arXiv:1905.02637, 2019 | | 2019 |
| DIMACS Workshop on Distributed Optimization, Information Processing, and Learning MA Chang, A Daneshmand, M Eisen, S Gade, K Gatsis, D Hajinezhad, ... | | |
| MAb-1: Learning and Optimization for Big Data A Daneshmand, F Facchinei | | |
Gesualdo ScutariPurdue UniversityBestätigte E-Mail-Adresse bei purdue.edu
