Ke Sun
Affiliations:- University of Alberta, Department of Mathematical and Statistical Sciences, Edmonton, Canada
- Peking University, Center for Data Science, Beijing, China
According to our database1,
Ke Sun
authored at least 19 papers
between 2019 and 2024.
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Bibliography
2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy.
Proceedings of the Asian Conference on Machine Learning, 2023
2022
How Does Value Distribution in Distributional Reinforcement Learning Help Optimization?
CoRR, 2022
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness.
CoRR, 2021
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm.
CoRR, 2021
CoRR, 2021
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations.
CoRR, 2021
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data.
CoRR, 2020
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors.
CoRR, 2019
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019