Songbai Yan

S. Alireza Golestaneh

Shubhra Chandra

Min Zhou

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2020

Exploring Connections Between Active Learning and Model Extraction.

[BibT_eX]

[DOI]

Proceedings of the 29th USENIX Security Symposium, 2020

2019

Algorithms for Query-Efficient Active Learning.

[BibT_eX]

[DOI]

PhD thesis, 2019

The Label Complexity of Active Learning from Observational Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Model Extraction and Active Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Active Learning with Logged Data.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Revisiting Perceptron: Efficient and Label-Optimal Active Learning of Halfspaces.

[BibT_eX]

[DOI]

Chicheng Zhang

CoRR, 2017

Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces.

[BibT_eX]

[DOI]

Chicheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Active Learning from Imperfect Labelers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Active learning from noisy and abstention feedback.

[BibT_eX]

[DOI]