Predrag Radivojac
6 papers · 2016–2023 · 4 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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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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The Questioner
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(5)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Clinical
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
positive-unlabeled learning
(3)
class prior estimation
(2)
semi-supervised learning
(1)
binary classification
(1)
biased sampling
(1)
explanation generation
(1)
nonparametric estimation
(1)
roc curve
(1)
posterior estimation
(1)
conditional independence
(1)
noisy label classification
(1)
probabilistic model
(1)
interpretable model
(1)
electronic health record
(1)
context-specific independence
(1)
classifier calibration
(1)
sum-product network
(1)
class proportion estimation
(1)
biased data
(1)
sampling bia
(1)
Papers
Leveraging Structure for Improved Classification of Grouped Biased Data
AAAI 2023
Explaining Deep Tractable Probabilistic Models: The sum-product network case
PGM 2022
Class Prior Estimation with Biased Positives and Unlabeled Examples
AAAI 2020
Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting
AAAI 2020
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach
IJCAI 2018
Estimating the class prior and posterior from noisy positives and unlabeled data
NeurIPS 2016