Rohan Deb

According to our database, Rohan Deb authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Plan Before You Trade: Inference-Time Optimization for RL Trading Agents.

Eun Go, Rohan Deb, Arindam Banerjee

CoRR, May, 2026

Replicable Bandits with UCB based Exploration.

Rohan Deb, Udaya Ghai, Karan Singh, Arindam Banerjee

CoRR, April, 2026

KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching.

Siddhartha Laghuvarapu, Rohan Deb, Jimeng Sun

CoRR, March, 2026

Model Predictive Control with Differentiable World Models for Offline Reinforcement Learning.

Rohan Deb, Stephen J. Wright, Arindam Banerjee

CoRR, March, 2026

2025

Beyond Johnson-Lindenstrauss: Uniform Bounds for Sketched Bilinear Forms.

Rohan Deb, Qiaobo Li, Mayank Shrivastava, Arindam Banerjee

CoRR, September, 2025

FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain.

Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Conservative Contextual Bandits: Beyond Linear Representations.

Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Contextual Bandits with Online Neural Regression.

Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources.

Rohan Deb, Aadirupa Saha, Arindam Banerjee

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources.

Rohan Deb, Aadirupa Saha

CoRR, 2023

Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis.

Swetha Ganesh, Rohan Deb, Gugan Thoppe, Amarjit Budhiraja

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Schedule Based Temporal Difference Algorithms.

Rohan Deb, Meet Gandhi, Shalabh Bhatnagar

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

Gradient Temporal Difference with Momentum: Stability and Convergence.

Rohan Deb, Shalabh Bhatnagar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

N-Timescale Stochastic Approximation: Stability and Convergence.

Rohan Deb, Shalabh Bhatnagar

CoRR, 2021

Does Momentum Help? A Sample Complexity Analysis.

Gugan Thoppe, Rohan Deb, Swetha Ganesh, Amarjit Budhiraja

CoRR, 2021