3 papers
cs.LG2026
Task Expansion and Cross Refinement for Open-World Conditional Modeling
Shreyas Bhat Brahmavar, Qiyang Liu, Yang Li +1
Open-world conditional modeling (OCM), requires a single model to answer arbitrary conditional queries across heterogeneous datasets, where observed variables and targets vary and…
cs.LG2026
Towards Universal Neural Likelihood Inference
Shreyas Bhat Brahmavar, Yang Li, Qiyang Liu +2
We introduce universal neural likelihood inference (UNLI): enabling a single model to provide data-grounded, conditional likelihood predictions for arbitrary targets given any coll…
cs.LG2024
Dynamic Information Sub-Selection for Decision Support
Hung-Tien Huang, Maxwell Lennon, Shreyas Bhat Brahmavar +2
We introduce Dynamic Information Sub-Selection (DISS), a novel framework of AI assistance designed to enhance the performance of black-box decision-makers by tailoring their inform…