Jean Feng
9 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
π
Keyword Champion
(2)
β
The Questioner
(2)
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(5)
Optimization & Theory
(4)
Mathematics & Optimization
(2)
Mathematics
(2)
Deep Learning
(1)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Clinical
(1)
Core Methods
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Resources & Methods
(1)
Keywords
risk prediction
(3)
model monitoring
(2)
confidence interval
(2)
causal inference
(2)
variable importance
(2)
hypothesis testing
(1)
nonparametric estimation
(1)
machine learning
(1)
sequential testing
(1)
hierarchical decomposition
(1)
domain shift
(1)
performance monitoring
(1)
shapley value
(1)
predictive model
(1)
calibration decay
(1)
error rate control
(1)
performance gap
(1)
domain expertise
(1)
non-parametric method
(1)
large language model
(1)
Papers
When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital
AAAI 2026
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
ICML 2025
A hierarchical decomposition for explaining ML performance discrepancies
NeurIPS 2024
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
CLeaR 2024
Is this model reliable for everyone? Testing for strong calibration
AISTATS 2024
Monitoring machine learning-based risk prediction algorithms in the presence of performativity
AISTATS 2024
Sequential algorithmic modification with test data reuse
UAI 2022
Efficient nonparametric statistical inference on population feature importance using Shapley values
ICML 2020
Nonparametric variable importance using an augmented neural network with multi-task learning
ICML 2018