Charles Marx
6 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4)
π
Academic Marathon
(6)
π
Cross-Pollinator
(15)
π
Keyword Champion
β
The Questioner
Conferences
AISTATS (2)
ICML (2)
NIPS (1)
UAI (1)
Top co-authors
Keywords
uncertainty quantification
(3)
conformal prediction
(2)
sequential decision-making
(1)
bayesian inference
(1)
explainable ai
(1)
probabilistic prediction
(1)
linear classification
(1)
integer programming
(1)
bayesian optimization
(1)
probabilistic model
(1)
disentangled representation
(1)
model explanation
(1)
distribution prediction
(1)
regression calibration
(1)
feature influence
(1)
model auditing
(1)
trust calibration
(1)
predictive multiplicity
(1)
proxy feature
(1)
frequentist statistics
(1)
Papers
Calibrated Regression Against An Adversary Without Regret
UAI 2025
Online Calibrated and Conformal Prediction Improves Bayesian Optimization
AISTATS 2024
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI
AISTATS 2023
Modular Conformal Calibration
ICML 2022
Predictive Multiplicity in Classification
ICML 2020
Disentangling Influence: Using disentangled representations to audit model predictions
NIPS 2019