Yuhong Yang

According to our database, Yuhong Yang authored at least 25 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Pruning Deep Neural Networks from a Sparsity Perspective.

Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Parallel Assisted Learning.

Xinran Wang, Jiawei Zhang, Mingyi Hong, Yuhong Yang, Jie Ding

IEEE Trans. Signal Process., 2022

Profile electoral college cross-validation.

Zishu Zhan, Yuhong Yang

Inf. Sci., 2022

A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation.

Wenjing Yang, Ganghua Wang, Enmao Diao, Vahid Tarokh, Jie Ding, Yuhong Yang

CoRR, 2022

2021

Estimating and forecasting dynamic correlation matrices: A nonlinear common factor approach.

Yongli Zhang, Craig Rolling, Yuhong Yang

J. Multivar. Anal., 2021

Targeted Cross-Validation.

Jiawei Zhang, Jie Ding, Yuhong Yang

CoRR, 2021

A Stabilized Dense Network Approach for High-Dimensional Prediction.

Wenjing Yang, Yuhong Yang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation.

Sakshi Arya, Yuhong Yang

CoRR, 2020

Confidence Calibration on Multiclass Classification in Medical Imaging.

Wenjing Yang, Zhantao Cao, Qin Chen, Yuhong Yang, Guowu Yang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

High-Dimensional Adaptive Minimax Sparse Estimation With Interactions.

Chenglong Ye, Yuhong Yang

IEEE Trans. Inf. Theory, 2019

A Binary Regression Adaptive Goodness-of-fit Test (BAGofT).

Jiawei Zhang, Jie Ding, Yuhong Yang

CoRR, 2019

Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards.

Sakshi Arya, Yuhong Yang

CoRR, 2019

2018

Model Selection Techniques: An Overview.

Jie Ding, Vahid Tarokh, Yuhong Yang

IEEE Signal Process. Mag., 2018

2017

Anomaly Detection for Categorical Observations Using Latent Gaussian Process.

Fengmao Lv, Guowu Yang, Jinzhao Wu, Chuan Liu, Yuhong Yang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Kernel Estimation and Model Combination in A Bandit Problem with Covariates.

Wei Qian, Yuhong Yang

J. Mach. Learn. Res., 2016

2015

Variable selection after screening: with or without data splitting?

Xiaoyi Zhu, Yuhong Yang

Comput. Stat., 2015

2014

Adaptive minimax regression estimation over sparse lq-hulls.

Zhan Wang, Sandra Paterlini, Fuchang Gao, Yuhong Yang

J. Mach. Learn. Res., 2014

2013

Metric entropy and sparse linear approximation of l_q-hulls for 0<q≤1.

Fuchang Gao, Ching-Kang Ing, Yuhong Yang

J. Approx. Theory, 2013

2012

Randomized allocation with dimension reduction in a bandit problem with covariates.

Wei Qian, Yuhong Yang

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2007

How Powerful Can Any Regression Learning Procedure Be?.

Yuhong Yang

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2001

Minimax rate adaptive estimation over continuous hyper-parameters.

Yuhong Yang

IEEE Trans. Inf. Theory, 2001

2000

Comment on "Finite sample performance guarantees of fusers for function estimators" [Information Fusion 1: 35-44 (2000)].

Yuhong Yang

Inf. Fusion, 2000

1999

Minimax nonparametric classification - Part II: Model selection for adaptation.

Yuhong Yang

IEEE Trans. Inf. Theory, 1999

Minimax nonparametric classification - Part I: Rates of convergence.

Yuhong Yang

IEEE Trans. Inf. Theory, 1999

1998

An Asymptotic Property of Model Selection Criteria.

Yuhong Yang, Andrew R. Barron

IEEE Trans. Inf. Theory, 1998