Raymond K. W. Wong

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 27

Top Topics

Bellman Residual

Policy Evaluation

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

Publications

Sungee Hong, Zhengling Qi, Raymond K. W. Wong
Distributional Off-policy Evaluation with Bellman Residual Minimization. CoRR (2024)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
Implicit Regularization for Group Sparsity. CoRR (2023)
Saptarshi Roy, Raymond K. W. Wong, Yang Ni
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data. NeurIPS (2023)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
Implicit Regularization for Group Sparsity. ICLR (2023)
Shuoli Chen, Kejun He, Shiyuan He, Yang Ni, Raymond K. W. Wong
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior. Technometrics 65 (4) (2023)
Zhenyu Wei, Raymond K. W. Wong, Thomas C. M. Lee
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling. ICASSP (2022)
Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
Projected State-action Balancing Weights for Offline Reinforcement Learning. CoRR (2021)
Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan
Matrix Completion with Model-free Weighting. CoRR (2021)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. IEEE Trans. Inf. Theory 67 (7) (2021)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. CoRR (2021)
Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan
Matrix Completion with Model-free Weighting. ICML (2021)
Ya Zhou, Raymond K. W. Wong, Kejun He
Tensor Linear Regression: Degeneracy and Solution. IEEE Access 9 (2021)
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
Median Matrix Completion: from Embarrassment to Optimality. ICML (2020)
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
Median Matrix Completion: from Embarrassment to Optimality. CoRR (2020)
Ya Zhou, Raymond K. W. Wong, Kejun He
CP Degeneracy in Tensor Regression. CoRR (2020)
Yi Su, Raymond K. W. Wong, Thomas C. M. Lee
Network Estimation via Graphon With Node Features. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. CoRR (2019)
Justin Wang, Raymond K. W. Wong, Thomas C. M. Lee
Locally linear embedding with additive noise. Pattern Recognit. Lett. 123 (2019)
Raymond K. W. Wong, Xiaoke Zhang
Nonparametric operator-regularized covariance function estimation for functional data. Comput. Stat. Data Anal. 131 (2019)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
On the Dynamics of Gradient Descent for Autoencoders. AISTATS (2019)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Provably Accurate Double-Sparse Coding. J. Mach. Learn. Res. 20 (2019)
Xiaojun Mao, Raymond K. W. Wong, Song Xi Chen
Matrix Completion under Low-Rank Missing Mechanism. CoRR (2018)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
A Provable Approach for Double-Sparse Coding. AAAI (2018)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Autoencoders Learn Generative Linear Models. CoRR (2018)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
A Provable Approach for Double-Sparse Coding. CoRR (2017)
Zhonghao Liao, George T. Amariucai, Raymond K. W. Wong, Yong Guan
The impact of discharge inversion effect on learning SRAM power-up statistics. AsianHOST (2017)
Raymond K. W. Wong, Thomas C. M. Lee
Matrix Completion with Noisy Entries and Outliers. J. Mach. Learn. Res. 18 (2017)
Raymond K. W. Wong
Autocorrelation in Short Time Series with Trends: a Simulation Study of estimation and significance Testing with Application to Air Quality Data. Adv. Data Sci. Adapt. Anal. 6 (2-3) (2014)
Randy C. S. Lai, Thomas C. M. Lee, Raymond K. W. Wong, Fang Yao
Nonparametric cepstrum estimation via optimal risk smoothing. IEEE Trans. Signal Process. 58 (3) (2010)
Raymond K. W. Wong, Randy C. S. Lai, Thomas C. M. Lee
Structural break estimation of noisy sinusoidal signals. Signal Process. 90 (1) (2010)