Stochastic Submodular Maximization: The Case of Coverage Functions MR Karimi, M Lucic, H Hassani, A Krause Advances in Neural Information Processing Systems, 2017, 2017 | 59 | 2017 |
Smart broadcasting: Do you want to be seen? MR Karimi, E Tavakoli, M Farajtabar, L Song, M Gomez-Rodriguez arXiv preprint arXiv:1605.06855, 2016 | 38 | 2016 |
Online active model selection for pre-trained classifiers MR Karimi, NM Gürel, B Karlaš, J Rausch, C Zhang, A Krause International Conference on Artificial Intelligence and Statistics, 307-315, 2021 | 20 | 2021 |
Consistent Online Optimization: Convex and Submodular MR Karimi Jaghargh, A Krause, S Lattanzi, S Vassilvitskii International Conference on Artificial Intelligence and Statistics, 2019 | 14 | 2019 |
The dynamics of riemannian robbins-monro algorithms MR Karimi, YP Hsieh, P Mertikopoulos, A Krause COLT 2022-35th Annual Conference on Learning Theory, 1-31, 2022 | 5 | 2022 |
A Dynamical System View of Langevin-Based Non-Convex Sampling MR Karimi Jaghargh, YP Hsieh, A Krause Advances in Neural Information Processing Systems 36, 2024 | 2* | 2024 |
Riemannian stochastic optimization methods avoid strict saddle points YP Hsieh, MR Karimi Jaghargh, A Krause, P Mertikopoulos Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Stochastic Approximation Algorithms for Systems of Interacting Particles MR Karimi Jaghargh, YP Hsieh, A Krause Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm MR Karimi, YP Hsieh, A Krause arXiv preprint, 2023 | | 2023 |