David S. Leslie

According to our database1, David S. Leslie authored at least 25 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms.
CoRR, 2019

Adaptive Sensor Placement for Continuous Spaces.
CoRR, 2019

2018
Adaptive Policies for Perimeter Surveillance Problems.
CoRR, 2018

Bandit learning in concave N-person games.
CoRR, 2018

Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models.
CoRR, 2018

2017
Mixed-Strategy Learning With Continuous Action Sets.
IEEE Trans. Automat. Contr., 2017

Robustness Properties in Fictitious-Play-Type Algorithms.
SIAM J. Control and Optimization, 2017

Combinatorial Multi-Armed Bandits with Filtered Feedback.
CoRR, 2017

2014
Stochastic fictitious play with continuous action sets.
J. Economic Theory, 2014

Game-theoretical control with continuous action sets.
CoRR, 2014

Learning in Unknown Reward Games: Application to Sensor Networks.
Comput. J., 2014

2013
Convergent Learning Algorithms for Unknown Reward Games.
SIAM J. Control and Optimization, 2013

Coarse resistance tree methods for stochastic stability analysis.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Optimistic Bayesian Sampling in Contextual-Bandit Problems.
J. Mach. Learn. Res., 2012

2011
A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems.
Knowledge Eng. Review, 2011

Adaptive Forgetting Factor Fictitious Play
CoRR, 2011

Equilibrium selection in potential games with noisy rewards.
Proceedings of the 5th International Conference on NETwork Games, COntrol and OPtimization, 2011

2010
Posterior Weighted Reinforcement Learning with State Uncertainty.
Neural Computation, 2010

Dynamic Opponent Modelling in Fictitious Play.
Comput. J., 2010

Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

2009
Sequentially updated Probability Collectives.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
On Similarities between Inference in Game Theory and Machine Learning.
J. Artif. Intell. Res., 2008

2007
A general approach to heteroscedastic linear regression.
Statistics and Computing, 2007

2006
Generalised weakened fictitious play.
Games and Economic Behavior, 2006

2005
Individual Q-Learning in Normal Form Games.
SIAM J. Control and Optimization, 2005


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