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cs.LG2026
HOPPER: Learnable Hop Extraction for Linearized Graph Sequence Models
Isuru Herath, Arin Gopakumar, Sharan Sahu
Graph neural networks typically propagate information through repeated message-passing layers, coupling propagation distance with the number of nonlinear transformations applied. T…
cs.LG2025
Online Distributionally Robust LLM Alignment via Regression to Relative Reward
Sharan Sahu, Martin T. Wells
Reinforcement Learning with Human Feedback (RLHF) has become crucial for aligning Large Language Models (LLMs) with human intent. However, existing offline RLHF approaches suffer f…
cs.LG2025
Towards Optimal Differentially Private Regret Bounds in Linear MDPs
Sharan Sahu
We study regret minimization under privacy constraints in episodic inhomogeneous linear Markov Decision Processes (MDPs), motivated by the growing use of reinforcement learning (RL…