From the 1 of 8 linked papers with an AI index.
4 papers · 1 filter
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…
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…
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…
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…