Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. - Ahmadreza Moradipari; Mohammad Pedramfar; Modjtaba Shokrian Zini; Vaneet Aggarwal (NeurIPS, 2023)

A Unified Approach for Maximizing Continuous DR-submodular Functions. - Mohammad Pedramfar; Christopher J. Quinn; Vaneet Aggarwal (NeurIPS, 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 001; Zheqing Zhu; Chi Zhou; Tim Gasser; Pol Mauri Ruiz; Vijay Menon; Neeraj Kumar 004; et al. (CoRR, 2023)

Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization. - Mohammad Pedramfar; Yididiya Y. Nadew; Christopher John Quinn; Vaneet Aggarwal (ICLR, 2024)

From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization. - Mohammad Pedramfar; Vaneet Aggarwal (NeurIPS, 2024)

A Generalized Approach to Online Convex Optimization. - Mohammad Pedramfar; Vaneet Aggarwal (CoRR, 2024)

Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization. - Yiyang Lu; Mohammad Pedramfar; Vaneet Aggarwal (CoRR, 2025)

Order-Optimal Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization. - Yiyang Lu; Mohammad Pedramfar; Vaneet Aggarwal (CoRR, 2025)

Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation. - Chang-Lin Chen; Hanhan Zhou; Jiayu Chen; Mohammad Pedramfar; Tian Lan 001; Zheqing Zhu; Chi Zhou; Pol Mauri Ruiz; Neeraj Kumar 004; Hongbo Dong; Vaneet Aggarwal (IEEE Trans. Netw. Serv. Manag., 2025)

Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models. - Vineet Jain; Kusha Sareen; Mohammad Pedramfar; Siamak Ravanbakhsh (CoRR, 2025)

Multi-Armed Sampling Problem and the End of Exploration. - Mohammad Pedramfar; Siamak Ravanbakhsh (CoRR, 2025)

Stochastic Submodular Bandits With Delayed Composite Anonymous Bandit Feedback. - Mohammad Pedramfar; Vaneet Aggarwal (IEEE Trans. Artif. Intell., 2025)