Raymond K. W. Wong

CoRR, 2024

A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models.

[BibT_eX]

[DOI]

Jiayi Wang

Zhengling Qi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior.

[BibT_eX]

[DOI]

Technometrics, October, 2023

Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data.

[BibT_eX]

[DOI]

Saptarshi Roy

Yang Ni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Implicit Regularization for Group Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling.

[BibT_eX]

[DOI]

Zhenyu Wei

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Projected State-action Balancing Weights for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Jiayi Wang

Zhengling Qi

CoRR, 2021

Implicit Sparse Regularization: The Impact of Depth and Early Stopping.

[BibT_eX]

[DOI]

CoRR, 2021

Tensor Linear Regression: Degeneracy and Solution.

[BibT_eX]

[DOI]

Ya Zhou

Kejun He

IEEE Access, 2021

Matrix Completion with Model-free Weighting.

[BibT_eX]

[DOI]

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

2020

Network Estimation via Graphon With Node Features.

[BibT_eX]

[DOI]

Yi Su

IEEE Trans. Netw. Sci. Eng., 2020

CP Degeneracy in Tensor Regression.

[BibT_eX]

[DOI]

Ya Zhou

Kejun He

CoRR, 2020

Median Matrix Completion: from Embarrassment to Optimality.

[BibT_eX]

[DOI]

Weidong Liu

Xiaojun Mao

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Locally linear embedding with additive noise.

[BibT_eX]

[DOI]

Justin Wang

Pattern Recognit. Lett., 2019

Provably Accurate Double-Sparse Coding.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Nonparametric operator-regularized covariance function estimation for functional data.

[BibT_eX]

[DOI]

Xiaoke Zhang

Comput. Stat. Data Anal., 2019

On the Dynamics of Gradient Descent for Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Matrix Completion under Low-Rank Missing Mechanism.

[BibT_eX]

[DOI]

Xiaojun Mao

Song Xi Chen

CoRR, 2018

Autoencoders Learn Generative Linear Models.

[BibT_eX]

[DOI]

CoRR, 2018

A Provable Approach for Double-Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Matrix Completion with Noisy Entries and Outliers.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

The impact of discharge inversion effect on learning SRAM power-up statistics.

[BibT_eX]

[DOI]

Proceedings of the 2017 Asian Hardware Oriented Security and Trust Symposium, 2017

2014

Autocorrelation in Short Time Series with Trends: a Simulation Study of estimation and significance Testing with Application to Air Quality Data.

[BibT_eX]

[DOI]

Adv. Data Sci. Adapt. Anal., 2014

2010

Nonparametric cepstrum estimation via optimal risk smoothing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Structural break estimation of noisy sinusoidal signals.

[BibT_eX]

[DOI]

Randy C. S. Lai