Teodora Popordanoska
7 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
🏆
Keyword Champion
(6)
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Core Methods
(4)
Learning Types
(4)
Artificial Intelligence
(2)
Computer Vision
(2)
Deep Learning
(2)
Healthcare & Medicine
(1)
Analysis
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Clinical
(1)
Core AI
(1)
Domain-Specific
(1)
Keywords
calibration error
(6)
uncertainty quantification
(3)
model calibration
(3)
kernel density estimation
(2)
consistent estimator
(2)
uncertainty estimation
(2)
label shift
(1)
consistency
(1)
error propagation
(1)
mean squared error
(1)
dataset shift
(1)
dirichlet distribution
(1)
confidence interval
(1)
cross-entropy loss
(1)
domain shift
(1)
unsupervised calibration
(1)
proper scoring rule
(1)
bandwidth selection
(1)
finite sample
(1)
asymptotic unbiasedness
(1)
Papers
Bandwidth Selection in Kernel Density Estimation for Model Calibration
UAI 2026
CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
MIDL 2026
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
ICML 2025
Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection
WACV 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors
AISTATS 2024
LaSCal: Label-Shift Calibration without target labels
NeurIPS 2024
A Consistent and Differentiable Lp Canonical Calibration Error Estimator
NeurIPS 2022