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Projects
- 1 Finished
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Joint workshop Between JGI and ISM: High Dimensional and Bayesian Inference toward Quantifying Real-World Uncertainties
Liu, S., Robson Brown, K. & Holley, A. P.
28/05/19 → 31/05/19
Project: Research
Research output
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Density Ratio Estimation and Neyman Pearson Classification with Missing Data
Givens, J., Liu, S. & Reeve, H. W. J., 25 Apr 2023, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research, Vol. 206. p. 8645-8681 37 p. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile5 Downloads (Pure) -
Fisher Efficient Inference of Intractable Models
Liu, S., Kanamori, T. & Jitkrittum, W., 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
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Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin
Wu, X., Liu, S. & Zhou, Z-H., Jun 2019, Proceedings of the 36th International Conference on Machine Learning. Vol. 97. p. 6840-6849Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
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Ayaka Sakata
Song Liu (Host)
5 Jun 2023 → 9 Jun 2023Activity: Hosting a visitor types › Hosting an academic visitor
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Simulating Boundary Examples
Song Liu (Recipient)
2018 → 2020Activity: Other activity types › Fellowship awarded competitively