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Hao Liu
Hao Liu
California Institute of Technology
Dirección de correo verificada de caltech.edu - Página principal
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Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions
O Li*, H Liu*, C Chen, C Rudin
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
5642018
Alice: Towards understanding adversarial learning for joint distribution matching
C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin
NIPS, 2017
2722017
Triangle Generative Adversarial Networks
Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L Carin
arXiv preprint arXiv:1709.06548, 2017
1552017
Towards more practical stochastic gradient mcmc in differential privacy
B Li, C Chen, H Liu, L Carin
Artificial Intelligence and Statistics (AISTATS), 2019
46*2019
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
R Guo, P Zhang, H Liu, E Kiciman
arXiv preprint arXiv:2101.07732, 2021
322021
Triply Robust Off-Policy Evaluation
H Liu, A Anandkumar, Y Yue, A Liu
arXiv preprint arXiv:1911.05811, 2019
92019
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments
A Liu*, H Liu*, T Li*, S Karimi-Bidhendi, Y Yue, A Anandkumar
arXiv preprint arXiv:2101.06614 NeurIPS 2019 CausalML Workshop, 2021
52021
Scaling Fair Learning to Hundreds of Intersectional Groups
E Zhao, DA Huang, H Liu, Z Yu, A Liu, O Russakovsky, A Anandkumar
32022
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
Y Guo*, H Liu*, Y Yue, A Liu
arXiv preprint arXiv:2401.11353, 2024
2024
Supplementary Material of ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin
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Artículos 1–10