Songbai Yan

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 10

Top Topics

Active Learning

Causal Bayesian Networks

Labeling Effort

Top Venues

USENIX Security Symposium

Publications

Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan
Exploring Connections Between Active Learning and Model Extraction. USENIX Security Symposium (2020)
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
The Label Complexity of Active Learning from Observational Data. CoRR (2019)
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
The Label Complexity of Active Learning from Observational Data. NeurIPS (2019)
Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan
Model Extraction and Active Learning. CoRR (2018)
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
Active Learning with Logged Data. ICML (2018)
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
Active Learning with Logged Data. CoRR (2018)
Songbai Yan, Chicheng Zhang
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces. NIPS (2017)
Songbai Yan, Chicheng Zhang
Revisiting Perceptron: Efficient and Label-Optimal Active Learning of Halfspaces. CoRR (2017)
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
Active Learning from Imperfect Labelers. CoRR (2016)
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
Active Learning from Imperfect Labelers. NIPS (2016)
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
Active learning from noisy and abstention feedback. Allerton (2015)
Kai Fan, Hongyi Zhang, Songbai Yan, Liwei Wang, Wensheng Zhang, Jufu Feng
Learning a generative classifier from label proportions. Neurocomputing 139 (2014)