| AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression Z He, Y Sun, J Liu, R Li arXiv preprint arXiv:2403.13565, 2024 | | 2024 |
| ROVER: Risk-Aware Swarm Robotics MOtion Planner Using Conditional ValuE at Risk X Yang, Y Hu, H Gao, K Ding, P Zhu, Y Sun, C Liu arXiv preprint arXiv:2402.16690, 2024 | | 2024 |
| TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression Z He, Y Sun, J Liu, R Li arXiv preprint arXiv:2404.01153, 2024 | 4 | 2024 |
| Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis Y Niu, J Xu, Y Sun, Y Huang, L Chai arXiv preprint arXiv:2312.14690, 2023 | 1 | 2023 |
| A Loopless Distributed Algorithm for Personalized Bilevel Optimization Y Niu, Y Sun, Y Huang, J Xu 2023 62nd IEEE Conference on Decision and Control (CDC), 4189-4196, 2023 | | 2023 |
| Distributed (ATC) gradient descent for high dimension sparse regression Y Ji, G Scutari, Y Sun, H Honnappa IEEE Transactions on Information Theory 69 (8), 5253-5276, 2023 | 2 | 2023 |
| Distributed sparse regression via penalization Y Ji, G Scutari, Y Sun, H Honnappa Journal of Machine Learning Research 24 (272), 1-62, 2023 | 7 | 2023 |
| Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology JX Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan International Conference on Machine Learning 162, 9310-9345, 2022 | 18* | 2022 |
| High-dimensional inference over networks: Linear convergence and statistical guarantees Y Sun, M Maros, G Scutari, G Cheng arXiv preprint arXiv:2201.08507, 2022 | 7 | 2022 |
| Hybrid local SGD for federated learning with heterogeneous communications Y Guo, Y Sun, R Hu, Y Gong International conference on learning representations, 2022 | 40 | 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 | 78 | 2022 |
| Globally convergent algorithms for learning multivariate generalized gaussian distributions B Wang, H Zhang, Z Zhao, Y Sun 2021 IEEE Statistical Signal Processing Workshop (SSP), 336-340, 2021 | 6 | 2021 |
| Distributed algorithms for composite optimization: Unified framework and convergence analysis J Xu, Y Tian, Y Sun, G Scutari IEEE Transactions on Signal Processing 69, 3555-3570, 2021 | 89 | 2021 |
| Majorization-minimization on the Stiefel manifold with application to robust sparse PCA A Breloy, S Kumar, Y Sun, DP Palomar IEEE Transactions on Signal Processing 69, 1507-1520, 2021 | 26 | 2021 |
| A unified algorithmic framework for distributed composite optimization J Xu, Y Tian, Y Sun, G Scutari 2020 59th IEEE Conference on Decision and Control (CDC), 2309-2316, 2020 | 10 | 2020 |
| Distributed big-data optimization via blockwise gradient tracking I Notarnicola, Y Sun, G Scutari, G Notarstefano IEEE Transactions on Automatic Control 66 (5), 2045-2060, 2020 | 17 | 2020 |
| Robust and secure wireless communications via intelligent reflecting surfaces X Yu, D Xu, Y Sun, DWK Ng, R Schober IEEE Journal on Selected Areas in Communications 38 (11), 2637-2652, 2020 | 684 | 2020 |
| Accelerated primal-dual algorithms for distributed smooth convex optimization over networks J Xu, Y Tian, Y Sun, G Scutari International Conference on Artificial Intelligence and Statistics, 2381-2391, 2020 | 40 | 2020 |
| Achieving linear convergence in distributed asynchronous multiagent optimization Y Tian, Y Sun, G Scutari IEEE Transactions on Automatic Control 65 (12), 5264-5279, 2020 | 74 | 2020 |
| A unified contraction analysis of a class of distributed algorithms for composite optimization J Xu, Y Sun, Y Tian, G Scutari 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 8 | 2019 |
Gesualdo ScutariPurdue UniversityVerified email at purdue.edu