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Yang Liu
Yang Liu
Computer Science and Engineering, UC Santa Cruz
Verified email at ucsc.edu - Homepage
Title
Cited by
Cited by
Year
Actionable Recourse in Linear Classification
B Ustun, A Spangher, Y Liu
ACM Conference on Fairness, Accountability, and Transparency, 2018
3352018
Cloudy with a chance of breach: Forecasting cyber security incidents
Y Liu, A Sarabi, J Zhang, P Naghizadeh, M Karir, M Bailey, M Liu
24th USENIX Security Symposium (USENIX Security 15), 1009-1024, 2015
205*2015
How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations
NA Saxena, K Huang, E DeFilippis, G Radanovic, DC Parkes, Y Liu
Artificial Intelligence 283, 103238, 2020
159*2020
Peer loss functions: Learning from noisy labels without knowing noise rates
Y Liu, H Guo
International conference on machine learning, 6226-6236, 2020
1052020
Rating network security posture and comparing network maliciousness
M Liu, M Bailey, M Karir, Y Liu, J Zhang
US Patent 10,038,703, 2018
962018
Calibrated Fairness in Bandits
Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes
ACM Conference on Fairness, Accountability, and Transparency in Machine Learning, 2017
902017
Fairness without harm: Decoupled classifiers with preference guarantees
B Ustun, Y Liu, D Parkes
International Conference on Machine Learning, 6373-6382, 2019
822019
An online learning approach to improving the quality of crowdsourcing
Y Liu, M Liu
ACM SIGMETRICS, 2015
802015
Learning with instance-dependent label noise: A sample sieve approach
H Cheng, Z Zhu, X Li, Y Gong, X Sun, Y Liu
arXiv preprint arXiv:2010.02347, 2020
622020
Reinforcement Learning with Perturbed Rewards.
J Wang, Y Liu, B Li
AAAI Conference on Artificial Intelligence, 6202-6209, 2020
622020
Risky business: Fine-grained data breach prediction using business profiles
A Sarabi, P Naghizadeh, Y Liu, M Liu
Journal of Cybersecurity 2 (1), 15-28, 2016
55*2016
Learning to incentivize: Eliciting effort via output agreement
Y Liu, Y Chen
International Joint Conferences on Artificial Intelligence (IJCAI), 2016
492016
A second-order approach to learning with instance-dependent label noise
Z Zhu, T Liu, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Patterná…, 2021
482021
Machine-learning aided peer prediction
Y Liu, Y Chen
ACM Conference on Economics and Computation, 63-80, 2017
482017
Fair Classification with Group-Dependent Label Noise
J Wang, Y Liu, C Levy
ACM Conference on Fairness, Accountability, and Transparency, 2020
472020
Sequential peer prediction: Learning to elicit effort using posted prices
Y Liu, Y Chen
Thirty-First AAAI Conference on Artificial Intelligence, 2017
442017
Federated Bandit: A Gossiping Approach
Z Zhu, J Zhu, J Liu, Y Liu
Sigmetrics, 2020
422020
Grinding the Space: Learning to Classify Against Strategic Agents
Y Chen, Y Liu, C Podimata
Advances in Neural Information Processing Systems (NeurIPS), 2019
42*2019
Surrogate scoring rules
Y Liu, J Wang, Y Chen
Proceedings of the 21st ACM Conference on Economics and Computation, 853-871, 2020
39*2020
How do fair decisions fare in long-term qualification?
X Zhang, R Tu, Y Liu, M Liu, H Kjellstr÷m, K Zhang, C Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2020
372020
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Articles 1–20