Guanhua Fang

According to our database1, Guanhua Fang authored at least 20 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Online estimation and community detection of network point processes for event streams.
Stat. Comput., February, 2024

On provable privacy vulnerabilities of graph representations.
CoRR, 2024

2023
Empirical Risk Minimization for Losses without Variance.
CoRR, 2023

Copula for Instance-wise Feature Selection and Ranking.
CoRR, 2023

A Cover Time Study of a non-Markovian Algorithm.
CoRR, 2023

Copula for Instance-wise Feature Selection and Rank.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Regression with Label Permutation in Generalized Linear Model.
Proceedings of the International Conference on Machine Learning, 2023

Piecewise Stationary Bandits under Risk Criteria.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
On Penalization in Stochastic Multi-armed Bandits.
CoRR, 2022

Catoni-style Confidence Sequences under Infinite Variance.
CoRR, 2022

Offline change detection under contamination.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Regret Analysis for RL using Renewal Bandit Feedback.
Proceedings of the IEEE Information Theory Workshop, 2022

Sensitivity of Under-Determined Linear System.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Nearly Optimal Catoni's M-estimator for Infinite Variance.
Proceedings of the International Conference on Machine Learning, 2022

Minimax M-estimation under Adversarial Contamination.
Proceedings of the International Conference on Machine Learning, 2022

2021
Efficient greedy coordinate descent via variable partitioning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Note on Sparse Generalized Eigenvalue Problem.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

On Estimation in Latent Variable Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Online Community Detection for Event Streams on Networks.
CoRR, 2020


  Loading...