Follow
Mark Burgess
Mark Burgess
Postdoctoral Research Fellow
Verified email at anu.edu.au
Title
Cited by
Cited by
Year
Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling.
MA Burgess, AC Chapman
IJCAI, 73-81, 2021
172021
An adjustable scenario optimisation approach in operating PV-rich distribution systems
SMN RA, M Burgess, M Mahmoodi, A Attarha, P Scott
IEEE Transactions on Power Systems, 2022
72022
Dagster: Parallel structured search with case studies
MA Burgess, C Gretton, J Milthorpe, L Croak, T Willingham, A Tiu
Pacific Rim International Conference on Artificial Intelligence, 75-89, 2022
12022
Stratied Finite Empirical Bernstein Sampling
MA Burgess, AC Chapman
Preprints, 2019
12019
The generalized N&K value: An axiomatic mechanism for electricity trading
MA Burgess, AC Chapman, P Scott
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
12018
Dagster: parallel structured search
MA Burgess, C Gretton, J Milthorpe, L Croak, T Willingham, A Tiu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16404 …, 2023
2023
Investigation of Game-Theoretic Mechanisms for the Valuation of Energy Resources
MA Burgess
PQDT-Global, 2022
2022
An equilibrium theorem of strategies in non-linear population matrix models
M Burgess
Preprints, 2021
2021
UCB with an optimal inequality
M Burgess
Preprints, 2020
2020
An Engineered Empirical Bernstein Bound
MA Burgess, AC Chapman, P Scott
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
2020
Non-Markov Stateful Evolutionary Games
M Burgess
Preprints, 2017
2017
Introduction to WKB
M Burgess
A//− A (ψ/) 2 (p2), h2, 2010
2010
The system can't perform the operation now. Try again later.
Articles 1–12