Mohammad Pedramfar

According to our database, Mohammad Pedramfar authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization.

Mohammad Pedramfar, Vaneet Aggarwal

CoRR, 2024

A Generalized Approach to Online Convex Optimization.

Mohammad Pedramfar, Vaneet Aggarwal

CoRR, 2024

Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization.

Mohammad Pedramfar, Yididiya Y. Nadew, Christopher John Quinn, Vaneet Aggarwal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning.

Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Vaneet Aggarwal, Tian Lan, Zheqing Zhu, Chi Zhou, Tim Gasser, Pol Mauri Ruiz, Vijay Menon, Neeraj Kumar, Hongbo Dong

CoRR, 2023

Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback.

Mohammad Pedramfar, Vaneet Aggarwal

CoRR, 2023

A Unified Approach for Maximizing Continuous DR-submodular Functions.

Mohammad Pedramfar, Christopher J. Quinn, Vaneet Aggarwal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning.

Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023