3 papers
math.ST2026
When Is a Graph a Covariance? Bayesian Residual Propagation under Covariance Uncertainty
Robert Richardson
Observing a prediction error at one node can help correct predictions elsewhere, but the benefit depends on the residual dependence between nodes. A graph suggests where that depen…
stat.AP2026
Calibrated Bayesian Selection of Schema Subgraphs for Database Question Answering
Robert Richardson
An LLM answering a question about a relational database must know which tables hold the information. Showing too few makes the question unanswerable, while showing too many wastes…
cs.LG2026
What Predicts Correctness in Text-to-SQL? A Selective-Prediction Study
Robert Richardson
Evaluating uncertainty in AI-generated SQL queries requires estimating whether a query is correct, where correct means it executes to the same result as a human-written reference.…