Edwin Fong
8 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (16)
π§¬
Topic Evolution
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Keyword Champion
(3)
Top co-authors
Research topics
Artificial Intelligence
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Machine Learning
(5)
Optimization & Theory
(4)
Healthcare & Medicine
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Clinical
(2)
Core AI
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Learning Paradigms
(1)
Learning Types
(1)
Mathematics
(1)
Models
(1)
Keywords
gaussian process
(3)
predictive distribution
(3)
bayesian inference
(3)
nonparametric learning
(2)
causal inference
(2)
transfer learning
(1)
epistemic uncertainty
(1)
posterior sampling
(1)
posterior distribution
(1)
importance sampling
(1)
bayesian model averaging
(1)
nonparametric statistics
(1)
multi-task gaussian processes
(1)
hierarchical model
(1)
survival analysis
(1)
distribution shift
(1)
stochastic process
(1)
posterior predictive
(1)
autoregressive model
(1)
data fusion
(1)
Papers
Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
CLeaR 2026
Instrumental and Proximal Causal Inference with Gaussian Processes
UAI 2026
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
ICLR 2024
Martingale Posterior Neural Processes
ICLR 2023
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates
UAI 2023
A Predictive Approach to Bayesian Nonparametric Survival Analysis
AISTATS 2022
Conformal Bayesian Computation
NeurIPS 2021
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
ICML 2019