Nicholas Petrick
4 papers · 2022–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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The Questioner
Venues
Top co-authors
Research topics
Keywords
risk prediction
(3)
model monitoring
(2)
causal inference
(2)
sequential testing
(1)
performance monitoring
(1)
calibration decay
(1)
error rate control
(1)
subgroup analysis
(1)
statistical process control
(1)
bonferroni correction
(1)
alpha recycling
(1)
sequential rejective graphical procedure
(1)
calibration testing
(1)
change point detection
(1)
machine learning deployment
(1)
algorithmic fairness
(1)
machine learning
(1)
Papers
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