Mohammad Pedramfar
Decision Sciences · Purdue University West Lafayette
Publications
30
Citations
11
Est. group size
—
Recurring co-author estimate
Active years
14
Publishing since 2013
Mohammad Pedramfar works on mathematical optimization and machine learning theory, focusing on techniques for optimizing difficult non-convex functions (including 'submodular' functions, which arise in problems like resource allocation and selection tasks), online learning and decision-making algorithms, and bandit/exploration problems used in reinforcement learning. His earlier work also touched on pure mathematics topics like fractal sets and dynamical systems. This research is largely theoretical, aiming to develop general frameworks and provable performance guarantees for algorithms.
Publication output was sparse or absent before 2019, then grew substantially from 2023 onward, suggesting an increasingly active and productive recent period.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- $γ$-weakly $θ$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
Open MIND · 2026
- $γ$-weakly $θ$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
arXiv (Cornell University) · 2026
- Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
Open MIND · 2026
- Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
arXiv (Cornell University) · 2026
- The Role of Symmetry in Optimizing Overparameterized Networks
arXiv (Cornell University) · 2026
- The Role of Symmetry in Optimizing Overparameterized Networks
arXiv (Cornell University) · 2026
- A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization
2026
- Multi-Armed Sampling Problem and the End of Exploration
arXiv (Cornell University) · 2025
- Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models
arXiv (Cornell University) · 2025
- A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization
Open MIND · 2024
- Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
2023
- A Unified Approach for Maximizing Continuous DR-submodular Functions
2023
- Hairy Cantor sets
Advances in Mathematics · 2021
- Arithmetic topological models for the attractors of infinitely satellite renormalisable maps
Spiral (Imperial College London) · 2020
- Coagent Networks Revisited
arXiv (Cornell University) · 2020
- arXiv (Cornell University)×18
- Open MIND×3
- Advances in Mathematics×1
- IEEE Transactions on Network and Service Management×1
- Spiral (Imperial College London)×1
- Tianyu Wang
Decision Sciences · The Ohio State University
- Yuanhanqing Huang
Decision Sciences · Purdue University West Lafayette
- Net Zhang
Decision Sciences · The Ohio State University
- Kaiyi Ji
Computer Science · The Ohio State University
- Miaolan Xie
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile