According to our database1, Luke Bornn authored at least 10 papers between 2013 and 2018.
Legend:Book In proceedings Article PhD thesis Other
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction.
The use of a single pseudo-sample in approximate Bayesian computation.
Stat. Comput., 2017
Modeling offensive player movement in professional basketball.
PeerJ Prepr., 2017
Improving simulated annealing through derandomization.
J. Global Optimization, 2017
Adjusting for scorekeeper bias in NBA box scores.
Data Min. Knowl. Discov., 2017
Learning Person Trajectory Representations for Team Activity Analysis.
Herded Gibbs Sampling.
J. Mach. Learn. Res., 2016
Diversifying Sparsity Using Variational Determinantal Point Processes.
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball.
Proceedings of the 31th International Conference on Machine Learning, 2014
Sequential Monte Carlo Bandits.