David Leslie
8 papers · 2016–2021 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
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Research topics
Keywords
bayesian regret
(2)
model selection
(2)
nash equilibrium
(2)
thompson sampling
(2)
continuum-armed bandit
(2)
gaussian process
(1)
cross validation
(1)
online learning
(1)
poisson process
(1)
mirror descent
(1)
bayesian optimization
(1)
nonparametric inference
(1)
computational efficiency
(1)
parameter tuning
(1)
no-regret learning
(1)
eluder dimension
(1)
variance reduction
(1)
multi-armed bandit
(1)
zero-sum game
(1)
hyperparameter optimization
(1)
Papers
Decentralized Q-learning in Zero-sum Markov Games
NeurIPS 2021
BOSS: Bayesian Optimization over String Spaces
NeurIPS 2020
On Thompson Sampling for Smoother-than-Lipschitz Bandits
AISTATS 2020
Adaptive Sensor Placement for Continuous Spaces
ICML 2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
ACL 2019
Bandit Learning in Concave N-Person Games
NeurIPS 2018
Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models
COLING 2018
REX: A Development Platform and Online Learning Approach for Runtime Emergent Software Systems
OSDI 2016