3 papers
cs.LG2025
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
Distribution Guided Active Feature Acquisition
Yang Li, Junier Oliva
Human agents routinely reason on instances with incomplete and muddied data (and weigh the cost of obtaining further features). In contrast, much of ML is devoted to the unrealisti…
cs.LG2024
Towards Cost Sensitive Decision Making
Yang Li, Junier Oliva
Many real-world situations allow for the acquisition of additional relevant information when making decisions with limited or uncertain data. However, traditional RL approaches eit…