Poster "expectation-maximization algorithm" Papers

9 papers found

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Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck

Shuai Zhang, Junfeng Fang, Xuqiang Li et al.

ICLR 2025
1
citations

Knowledge Distillation of Uncertainty using Deep Latent Factor Model

Sehyun Park, Jongjin Lee, Yunseop Shin et al.

NEURIPS 2025arXiv:2510.19290

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

Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

ICLR 2025
6
citations

Seal Your Backdoor with Variational Defense

Ivan Sabolic, Matej Grcic, Siniša Šegvić

ICCV 2025arXiv:2503.08829
1
citations

Unlabeled Data Can Provably Enhance In-Context Learning of Transformers

Renpu Liu, Jing Yang

NEURIPS 2025arXiv: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 2024arXiv:2406.18865
1
citations

Graph Neural Networks with a Distribution of Parametrized Graphs

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

ICML 2024arXiv:2310.16401
1
citations

MaxMin-RLHF: Alignment with Diverse Human Preferences

Souradip Chakraborty, Jiahao Qiu, Hui Yuan et al.

ICML 2024arXiv:2402.08925
88
citations

Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression

Zhankun Luo, Abolfazl Hashemi

ICML 2024arXiv:2405.18237