| Natural number game K Buzzard, M Pedramfar https://www.ma.imperial.ac.uk/~buzzard/xena/natural_number_game/index2.html, 2020 | 10* | 2020 |
| A Unified Approach for Maximizing Continuous DR-submodular Functions M Pedramfar, C Quinn, V Aggarwal Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning CL Chen, H Zhou, J Chen, M Pedramfar, V Aggarwal, T Lan, Z Zhu, ... arXiv preprint arXiv:2306.17054, 2023 | 3 | 2023 |
| Complex Feigenbaum phenomena of high type D Cheraghi, M Pedramfar manuscript in preparation, 2017 | 3 | 2017 |
| Coagent networks revisited MS Zini, M Pedramfar, M Riemer, A Moradipari, M Liu arXiv preprint arXiv:2001.10474, 2020 | 2 | 2020 |
| Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback M Pedramfar, V Aggarwal arXiv preprint arXiv:2303.13604, 2023 | 1 | 2023 |
| Hairy Cantor sets D Cheraghi, M Pedramfar Advances in Mathematics 398, 108168, 2022 | 1 | 2022 |
| A Generalized Approach to Online Convex Optimization M Pedramfar, V Aggarwal arXiv preprint arXiv:2402.08621, 2024 | | 2024 |
| Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning A Moradipari, M Pedramfar, M Shokrian Zini, V Aggarwal Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| A Unified Approach for Maximizing Continuous γ-weakly DR-submodular Functions M Pedramfar, CJ Quinn, V Aggarwal | | 2024 |
| Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization M Pedramfar, YY Nadew, CJ Quinn, V Aggarwal The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Arithmetic topological models for the attractors of infinitely satellite renormalisable maps M Pedramfar Imperial College London, 2020 | | 2020 |
