3 papers
cs.LG2025
Combining digital data streams and epidemic networks for real time outbreak detection
Ruiqi Lyu, Alistair Turcan, Bryan Wilder
Responding to disease outbreaks requires close surveillance of their trajectories, but outbreak detection is hindered by the high noise in epidemic time series. Aggregating informa…
cs.LG2025
Improving constraint-based discovery with robust propagation and reliable LLM priors
Ruiqi Lyu, Alistair Turcan, Martin Jinye Zhang +1
Learning causal structure from observational data is central to scientific modeling and decision-making. Constraint-based methods aim to recover conditional independence (CI) relat…
cs.LG2025
Predicting Language Models' Success at Zero-Shot Probabilistic Prediction
Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño +7
Recent work has investigated the capabilities of large language models (LLMs) as zero-shot models for generating individual-level characteristics (e.g., to serve as risk models or…