28 citations · 130 across the 23 of their papers we have counts for
3 papers · 1 filter
Bandit learning in concave -person games
Mario Bravo, David S. Leslie, Panayotis Mertikopoulos
This paper examines the long-run behavior of learning with bandit feedback in non-cooperative concave games. The bandit framework accounts for extremely low-information environment…
Adaptive Policies for Perimeter Surveillance Problems
James A. Grant, David S. Leslie, Kevin Glazebrook +2
Maximising the detection of intrusions is a fundamental and often critical aim of perimeter surveillance. Commonly, this requires a decision-maker to optimally allocate multiple se…
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models
Henry B. Moss, David S. Leslie, Paul Rayson
K-fold cross validation (CV) is a popular method for estimating the true performance of machine learning models, allowing model selection and parameter tuning. However, the very pr…