| Driftsurf: Stable-state/reactive-state learning under concept drift A Tahmasbi, E Jothimurugesan, S Tirthapura, PB Gibbons International Conference on Machine Learning, 10054-10064, 2021 | 24 | 2021 |
| Variance-reduced stochastic gradient descent on streaming data E Jothimurugesan, A Tahmasbi, PB Gibbons, S Tirthapura 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), 2018 | 24 | 2018 |
| Driftsurf: A risk-competitive learning algorithm under concept drift A Tahmasbi, E Jothimurugesan, S Tirthapura, PB Gibbons arXiv preprint arXiv:2003.06508, 2020 | 4 | 2020 |
| Maximum Range-Sum for Dynamically Occurring Objects with Decaying Weights A Tahmasbi, G Trajcevski European Conference on Advances in Databases and Information Systems, 238-252, 2022 | | 2022 |
| Adaptive strategies for models over data, structures and queries in streaming settings A Tahmasbi Iowa State University, 2022 | | 2022 |
| Variance-Reduced SGD on Streaming Data E Jothimurugesan, A Tahmasbi, PB Gibbons, S Tirthapura | | |
Phillip GibbonsCarnegie Mellon UniversityVerified email at cs.cmu.edu
