Jean Feng
9 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
π
Academic Marathon
(7)
π
Cross-Pollinator
(3)
π
Renaissance Researcher
(6)
β
The Questioner
(2)
Conferences
ICML (3)
AISTATS (2)
AAAI (1)
CLEAR (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
risk prediction
(3)
variable importance
(2)
confidence interval
(2)
model monitoring
(2)
causal inference
(2)
nonparametric estimation
(1)
machine learning
(1)
changepoint detection
(1)
sequential testing
(1)
hierarchical decomposition
(1)
domain shift
(1)
performance monitoring
(1)
nonparametric method
(1)
shapley value
(1)
predictive model
(1)
calibration decay
(1)
error rate control
(1)
performance gap
(1)
domain expertise
(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
Monitoring machine learning-based risk prediction algorithms in the presence of performativity
AISTATS 2024
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
CLEAR 2024
A hierarchical decomposition for explaining ML performance discrepancies
NIPS 2024
Is this model reliable for everyone? Testing for strong calibration
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