conftrace_

bayesian classifier

7 papers

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Co-occurring keywords

variational inference (2069) positive unlabeled learning (35) mean objective cost of uncertainty (1) expected loss reduction (2) distribution estimation (71) minimax probability machine (1) python toolkit (6) kernel methods (1097) unbiased rebalanced risk (1) soft mofu (1)

Papers

Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective AAAI 2023
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021
A Variational Approach for Learning from Positive and Unlabeled Data NIPS 2020
PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python PGM 2020
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing ICML 2019
The Minimum Error Minimax Probability Machine JMLR 2004