Yi Liu

Affiliations:

University of Alberta, Department of Mathematical and Statistical Sciences, Edmonton, Canada

According to our database¹, Yi Liu authored at least 8 papers between 2019 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2023

Optimal Smooth Approximation for Quantile Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Distributional Reinforcement Learning via Sinkhorn Iterations.

[BibT_eX]

[DOI]

CoRR, 2022

Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm.

[BibT_eX]

[DOI]

CoRR, 2021

Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations.

[BibT_eX]

[DOI]

CoRR, 2021

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions.

[BibT_eX]

[DOI]

Entropy, 2020

2019

M-estimation in Low-Rank Matrix Factorization: A General Framework.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Yi Liu

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