Yuzhou Cao

According to our database1, Yuzhou Cao authored at least 14 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity.
IEEE Trans. Knowl. Data Eng., November, 2023

Average Transmission Rate and Energy Efficiency Optimization in UAV-assisted IoT.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Regression with Cost-based Rejection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Weakly Supervised Regression with Interval Targets.
Proceedings of the International Conference on Machine Learning, 2023

Consistent Complementary-Label Learning via Order-Preserving Losses.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Multi-complementary and unlabeled learning for arbitrary losses and models.
Pattern Recognit., 2022

Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Multi-Class Classification from Single-Class Data with Confidences.
CoRR, 2021

Multiple-Instance Learning from Similar and Dissimilar Bags.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning from Similarity-Confidence Data.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine.
Knowl. Based Syst., 2020

Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models.
CoRR, 2020


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