Alex Chan
6 papers · 2020–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (3) π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge
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Taxonomy Completionist
(11)
π₯
Mega-Team
(28)
Conferences
NIPS (3)
ICLR (2)
ICML (1)
Top co-authors
Keywords
uncertainty quantification
(2)
representation learning
(1)
policy evaluation
(1)
ensemble learning
(1)
model combination
(1)
policy learning
(1)
posterior distribution
(1)
gaussian process
(1)
covariate shift
(1)
resource allocation
(1)
instance-wise weighting
(1)
bayesian neural network
(1)
molecular representation
(1)
simulation environment
(1)
posterior regularisation
(1)
bayesian optimisation
(1)
kernel methods
(1)
multi-agent system
(1)
expert model
(1)
multi-user system
(1)
Papers
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems
NIPS 2023
GAUCHE: A Library for Gaussian Processes in Chemistry
NIPS 2023
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
NIPS 2022
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
ICLR 2022
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
ICLR 2022
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
ICML 2020