3 papers
cs.LG2026
LLM Priors for ERM over Programs
Shivam Singhal, Priyadarsi Mishra, Eran Malach +1
We study program-learning methods that are efficient in both samples and computation. Classical learning theory suggests that when the target admits a short program description, fo…
cs.AI2026
Distribution-Aware Algorithm Design with LLM Agents
Saharsh Koganti, Priyadarsi Mishra, Pierfrancesco Beneventano +1
Many optimization problems arise repeatedly from a fixed but unknown distribution. Even when the worst-case problem is hard, this distribution may carry reusable structure, such as…
cs.LG2025
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
Achleshwar Luthra, Priyadarsi Mishra, Tomer Galanti
Self-supervised contrastive learning (CL) has achieved remarkable empirical success, often producing representations that rival supervised pre-training on downstream tasks. Recent…