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Mohammad Pedramfar
Mohammad Pedramfar
Research Assistant, McGill University/Mila
Verified email at mila.quebec
Title
Cited by
Cited by
Year
Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation
CL Chen, H Zhou, J Chen, M Pedramfar, T Lan, Z Zhu, C Zhou, PM Ruiz, ...
IEEE Transactions on Network and Service Management, 2024
18*2024
A Unified Approach for Maximizing Continuous DR-submodular Functions
M Pedramfar, C Quinn, V Aggarwal
Advances in Neural Information Processing Systems 36, 2024
162024
Natural number game
K Buzzard, M Pedramfar
https://www.ma.imperial.ac.uk/~buzzard/xena/natural_number_game/index2.html, 2020
152020
Coagent networks revisited
MS Zini, M Pedramfar, M Riemer, A Moradipari, M Liu
arXiv preprint arXiv:2001.10474, 2020
92020
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, 23557-23569, 2023
82023
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
M Pedramfar, V Aggarwal
arXiv preprint arXiv:2405.00065, 2024
72024
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
62023
Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models
V Jain, K Sareen, M Pedramfar, S Ravanbakhsh
arXiv preprint arXiv:2506.20701, 2025
52025
A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization
M Pedramfar, V Aggarwal
arXiv preprint arXiv:2402.08621, 2024
4*2024
Hairy Cantor sets
D Cheraghi, M Pedramfar
Advances in Mathematics 398, 108168, 2022
32022
Complex Feigenbaum phenomena of high type
D Cheraghi, M Pedramfar
Manuscript in preparation, 2019
32019
Stochastic submodular bandits with delayed composite anonymous bandit feedback
M Pedramfar, V Aggarwal
IEEE Transactions on Artificial Intelligence, 2025
22025
Order-Optimal Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization
Y Lu, M Pedramfar, V Aggarwal
arXiv preprint arXiv:2502.16744, 2025
12025
A Unified Approach for Maximizing Continuous γ-weakly DR-submodular Functions
M Pedramfar, CJ Quinn, V Aggarwal
12024
Multi-Armed Sampling Problem and the End of Exploration
M Pedramfar, S Ravanbakhsh
arXiv preprint arXiv:2507.10797, 2025
2025
Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
Y Lu, M Pedramfar, V Aggarwal
arXiv preprint arXiv:2501.18183, 2025
2025
Arithmetic topological models for the attractors of infinitely satellite renormalisable maps
M Pedramfar
Imperial College London, 2020
2020
Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
M Pedramfar, CJ Quinn, V Aggarwal
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Articles 1–18