Poster "expectation-maximization algorithm" Papers

6 papers found

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Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution

Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

ICLR 2025poster
6
citations

Unlabeled Data Can Provably Enhance In-Context Learning of Transformers

Renpu Liu, Jing Yang

NeurIPS 2025posterarXiv:2601.10058
1
citations

From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

Trenton Chang, Jenna Wiens

ICML 2024poster

Graph Neural Networks with a Distribution of Parametrized Graphs

See Hian Lee, Feng Ji, Kelin Xia et al.

ICML 2024poster

MaxMin-RLHF: Alignment with Diverse Human Preferences

Souradip Chakraborty, Jiahao Qiu, Hui Yuan et al.

ICML 2024poster

Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression

Zhankun Luo, Abolfazl Hashemi

ICML 2024poster