Guanhua Fang

Owen G. Ward

Tian Zheng

Stat. Comput., February, 2024

On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes.

[BibT_eX]

[DOI]

Zhiheng Chen

Wen Yu

CoRR, 2024

On provable privacy vulnerabilities of graph representations.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Empirical Risk Minimization for Losses without Variance.

[BibT_eX]

[DOI]

CoRR, 2023

Copula for Instance-wise Feature Selection and Ranking.

[BibT_eX]

[DOI]

Hanyu Peng

CoRR, 2023

A Cover Time Study of a non-Markovian Algorithm.

[BibT_eX]

[DOI]

Zhiqiang Xu

CoRR, 2023

Copula for Instance-wise Feature Selection and Rank.

[BibT_eX]

[DOI]

Hanyu Peng

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Regression with Label Permutation in Generalized Linear Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Piecewise Stationary Bandits under Risk Criteria.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

On Penalization in Stochastic Multi-armed Bandits.

[BibT_eX]

[DOI]

CoRR, 2022

Catoni-style Confidence Sequences under Infinite Variance.

[BibT_eX]

[DOI]

CoRR, 2022

Offline change detection under contamination.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Regret Analysis for RL using Renewal Bandit Feedback.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2022

Sensitivity of Under-Determined Linear System.

[BibT_eX]

[DOI]

Yunfeng Cai

Proceedings of the IEEE International Symposium on Information Theory, 2022

Nearly Optimal Catoni's M-estimator for Infinite Variance.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Minimax M-estimation under Adversarial Contamination.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Efficient greedy coordinate descent via variable partitioning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Note on Sparse Generalized Eigenvalue Problem.

[BibT_eX]

[DOI]

Yunfeng Cai

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

On Variational Inference in Biclustering Models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

On Estimation in Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Online Community Detection for Event Streams on Networks.

[BibT_eX]

[DOI]