About me
I am a third year Ph.D. student in the Department of Computer Science at the University of Illinois, Urbana-Champaign, advised by Prof. Arindam Banerjee. In the past I obtained a Master’s degree from the Department of Computer Science and Automation at the Indian Institute of Science, working with Shalabh Bhatnagar and Gugan Thoppe.
I am broadly interested in Machine Learning with an emphasis on Sequential Decision Making under Uncertainty. I am currently interested in the following research threads:
- Neural Contextual Bandits
- Active Learning for Fine-tuning
- Online Learning under Resource Constraints
- Reinforcement Learning
- Deep Learning: Optimization, Generalization, and Geometry
News
⭐ May-2025: Started a summer internship at Amazon SCOT-RL under Dean Foster
⭐ May-2025: One paper accepted at RLC, 2025
⭐ Apr-2025: One paper accepted at ICML, 2025
⭐ Jan 2025: One paper accepted at ICLR, 2025
⭐ Aug-2024: Completed a summer internship at AWS AI Labs under Branislav Kveton
Selected Papers
Conservative Contextual Bandits: Beyond Linear Representations | arxiv
Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee
Accepted at at 13th International Conference on Learning Representations (ICLR), 2025Contextual Bandits with Online Neural Regression | arxiv
Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
Accepted at 12th International Conference on Learning Representations (ICLR), 2024Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources | arxiv
Rohan Deb, Aadirupa Saha, Arindam Banerjee
Accepted at 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024