Songbai Yan

According to our database, Songbai Yan authored at least 10 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Exploring Connections Between Active Learning and Model Extraction.

Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan

Proceedings of the 29th USENIX Security Symposium, 2020

2019

Algorithms for Query-Efficient Active Learning.

Songbai Yan

PhD thesis, 2019

The Label Complexity of Active Learning from Observational Data.

Songbai Yan, Kamalika Chaudhuri, Tara Javidi

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.

Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan

CoRR, 2018

Active Learning with Logged Data.

Songbai Yan, Kamalika Chaudhuri, Tara Javidi

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

2017

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

Songbai Yan, Chicheng Zhang

CoRR, 2017

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

Songbai Yan, 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.

Songbai Yan, Kamalika Chaudhuri, Tara Javidi

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.

Songbai Yan, Kamalika Chaudhuri, Tara Javidi

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Learning a generative classifier from label proportions.

Kai Fan, Hongyi Zhang, Songbai Yan, Liwei Wang, Wensheng Zhang, Jufu Feng

Neurocomputing, 2014