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bayesian classifier

8 papers

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Co-occurring keywords · papers mentioning both

variational inference (3) positive-unlabeled learning (2) mean objective cost of uncertainty (1) expected loss reduction (1) distribution estimation (1) minimax probability machine (1) python toolkit (1) kernel methods (1) unbiased rebalanced risk (1) soft mofu (1)

Papers

Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms PGM 2024 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 NeurIPS 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