1 citations · 1 across the 2 of their papers we have counts for
3 papers
Report-based Recommendations for Policy Making and Agency Operations: Dataset and LLM Evaluation
Aleksandra Edwards, Thomas Edwards, Jose Camacho-Collados +1
Large Language Models (LLMs) are extensively used in text generation tasks. These generative capabilities bring us to a point where LLMs could potentially provide useful insights i…
Scaling-laws for Large Time-series Models
Thomas D. P. Edwards, James Alvey, Justin Alsing +2
Scaling laws for large language models (LLMs) have provided useful guidance in training ever larger models for predictable performance gains. Time series forecasting shares a simil…
Optimal simulation-based Bayesian decisions
Justin Alsing, Thomas D. P. Edwards, Benjamin Wandelt
We present a framework for the efficient computation of optimal Bayesian decisions under intractable likelihoods, by learning a surrogate model for the expected utility (or its dis…