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2020 – today
- 2024
[c9]Jiayi Wang, Zhengling Qi, Raymond K. W. Wong:
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models. ICML 2024- [i11]Sungee Hong, Zhengling Qi, Raymond K. W. Wong:
Distributional Off-policy Evaluation with Bellman Residual Minimization. CoRR abs/2402.01900 (2024) - 2023
- [j11]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): 524-536 (2023) - [c8]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Regularization for Group Sparsity. ICLR 2023 - [c7]Saptarshi Roy, Raymond K. W. Wong, Yang Ni:
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data. NeurIPS 2023 - [i10]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Regularization for Group Sparsity. CoRR abs/2301.12540 (2023) - 2022
- [c6]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: 5707-5711 - 2021
- [j10]Ya Zhou, Raymond K. W. Wong, Kejun He:
Tensor Linear Regression: Degeneracy and Solution. IEEE Access 9: 7775-7788 (2021) - [j9]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. IEEE Trans. Inf. Theory 67(7): 4669-4692 (2021) - [c5]Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan:
Matrix Completion with Model-free Weighting. ICML 2021: 10927-10936 - [i9]Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan:
Matrix Completion with Model-free Weighting. CoRR abs/2106.05850 (2021) - [i8]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. CoRR abs/2108.05574 (2021) - [i7]Jiayi Wang, Zhengling Qi, Raymond K. W. Wong:
Projected State-action Balancing Weights for Offline Reinforcement Learning. CoRR abs/2109.04640 (2021) - 2020
- [j8]Yi Su, Raymond K. W. Wong, Thomas C. M. Lee:
Network Estimation via Graphon With Node Features. IEEE Trans. Netw. Sci. Eng. 7(3): 2078-2089 (2020) - [c4]Weidong Liu, Xiaojun Mao, Raymond K. W. Wong:
Median Matrix Completion: from Embarrassment to Optimality. ICML 2020: 6294-6304 - [i6]Weidong Liu, Xiaojun Mao, Raymond K. W. Wong:
Median Matrix Completion: from Embarrassment to Optimality. CoRR abs/2006.10400 (2020) - [i5]Ya Zhou, Raymond K. W. Wong, Kejun He:
CP Degeneracy in Tensor Regression. CoRR abs/2010.13568 (2020)
2010 – 2019
- 2019
- [j7]Raymond K. W. Wong, Xiaoke Zhang:
Nonparametric operator-regularized covariance function estimation for functional data. Comput. Stat. Data Anal. 131: 131-144 (2019) - [j6]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
Provably Accurate Double-Sparse Coding. J. Mach. Learn. Res. 20: 141:1-141:43 (2019) - [j5]Justin Wang, Raymond K. W. Wong, Thomas C. M. Lee:
Locally linear embedding with additive noise. Pattern Recognit. Lett. 123: 47-52 (2019) - [c3]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
On the Dynamics of Gradient Descent for Autoencoders. AISTATS 2019: 2858-2867 - [i4]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. CoRR abs/1911.11983 (2019) - 2018
- [c2]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
A Provable Approach for Double-Sparse Coding. AAAI 2018: 3852-3859 - [i3]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
Autoencoders Learn Generative Linear Models. CoRR abs/1806.00572 (2018) - [i2]Xiaojun Mao, Raymond K. W. Wong, Song Xi Chen:
Matrix Completion under Low-Rank Missing Mechanism. CoRR abs/1812.07813 (2018) - 2017
- [j4]Raymond K. W. Wong, Thomas C. M. Lee:
Matrix Completion with Noisy Entries and Outliers. J. Mach. Learn. Res. 18: 147:1-147:25 (2017) - [c1]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: 31-36 - [i1]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
A Provable Approach for Double-Sparse Coding. CoRR abs/1711.03638 (2017) - 2014
- [j3]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) - 2010
- [j2]Raymond K. W. Wong, Randy C. S. Lai, Thomas C. M. Lee:
Structural break estimation of noisy sinusoidal signals. Signal Process. 90(1): 303-312 (2010) - [j1]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): 1507-1514 (2010)
Coauthor Index
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