2 papers
math.OC2026
Parameter Tuning with Generalization Guarantees for GPU-Accelerated Linear Programming
Siddharth Prasad, Dravyansh Sharma
Recent research has developed practical, parallelizable first-order methods for large scale linear programming, but performance is highly dependent on hyperparameter selection. We…
cs.GT2026
In-Context Credit Assignment via the Core
Keegan Harris, Siddharth Prasad, Asher Trockman
We propose incentive-aligned mechanisms for in-context credit assignment: the task of assigning credit for AI-generated content (e.g. code, news articles, short-form videos) among…