Raymond K. W. Wong

36 papers A* 7A 2Misc 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flexible Functional Treatment Effect Estimation. J. Mach. Learn. Res. Jiayi Wang, Raymond K. W. Wong, Xiaoke Zhang, Kwun Chuen Gary Chan
2025	J	`jnl`	A Principled Path to Fitted Distributional Evaluation. CoRR Sungee Hong, Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
2025	A	`conf`	Distributional Off-policy Evaluation with Bellman Residual Minimization. AISTATS Sungee Hong, Zhengling Qi, Raymond K. W. Wong
2025	J	`jnl`	Virtual Assistant for Spacecraft Anomaly Resolution: Effects on Human Performance Metrics. J. Aerosp. Inf. Syst. Poonampreet Kaur Josan, Prachi Dutta, Renee Abbott, Antoni Viros i Martin, Bonnie J. Dunbar, Raymond K. W. Wong, Daniel Selva, Ana Diaz-Artiles
2024	A*	`conf`	A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models. ICML Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
2024	A*	`conf`	A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness. NeurIPS Jiangyuan Li, Jiayi Wang, Raymond K. W. Wong, Kwun Chuen Gary Chan
2024	J	`jnl`	Distributional Off-policy Evaluation with Bellman Residual Minimization. CoRR Sungee Hong, Zhengling Qi, Raymond K. W. Wong
2023	J	`jnl`	Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior. Technometrics Shuoli Chen, Kejun He, Shiyuan He, Yang Ni, Raymond K. W. Wong
2023	A*	`conf`	Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data. NeurIPS Saptarshi Roy, Raymond K. W. Wong, Yang Ni
2023	A*	`conf`	Implicit Regularization for Group Sparsity. ICLR Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong
2023	J	`jnl`	Implicit Regularization for Group Sparsity. CoRR Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong
2022	Misc	`conf`	Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling. ICASSP Zhenyu Wei, Raymond K. W. Wong, Thomas C. M. Lee
2021	J	`jnl`	Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. IEEE Trans. Inf. Theory Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2021	J	`jnl`	Implicit Sparse Regularization: The Impact of Depth and Early Stopping. CoRR Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong
2021	A*	`conf`	Matrix Completion with Model-free Weighting. ICML Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan
2021	J	`jnl`	Matrix Completion with Model-free Weighting. CoRR Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan
2021	J	`jnl`	Projected State-action Balancing Weights for Offline Reinforcement Learning. CoRR Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
2021	J	`jnl`	Tensor Linear Regression: Degeneracy and Solution. IEEE Access Ya Zhou, Raymond K. W. Wong, Kejun He
2020	J	`jnl`	CP Degeneracy in Tensor Regression. CoRR Ya Zhou, Raymond K. W. Wong, Kejun He
2020	A*	`conf`	Median Matrix Completion: from Embarrassment to Optimality. ICML Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
2020	J	`jnl`	Median Matrix Completion: from Embarrassment to Optimality. CoRR Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
2020	J	`jnl`	Network Estimation via Graphon With Node Features. IEEE Trans. Netw. Sci. Eng. Yi Su, Raymond K. W. Wong, Thomas C. M. Lee
2019	J	`jnl`	Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. CoRR Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2019	J	`jnl`	Locally linear embedding with additive noise. Pattern Recognit. Lett. Justin Wang, Raymond K. W. Wong, Thomas C. M. Lee
2019	J	`jnl`	Nonparametric operator-regularized covariance function estimation for functional data. Comput. Stat. Data Anal. Raymond K. W. Wong, Xiaoke Zhang
2019	A	`conf`	On the Dynamics of Gradient Descent for Autoencoders. AISTATS Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2019	J	`jnl`	Provably Accurate Double-Sparse Coding. J. Mach. Learn. Res. Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2018	A*	`conf`	A Provable Approach for Double-Sparse Coding. AAAI Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2018	J	`jnl`	Autoencoders Learn Generative Linear Models. CoRR Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2018	J	`jnl`	Matrix Completion under Low-Rank Missing Mechanism. CoRR Xiaojun Mao, Raymond K. W. Wong, Song Xi Chen
2017	J	`jnl`	A Provable Approach for Double-Sparse Coding. CoRR Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2017	J	`jnl`	Matrix Completion with Noisy Entries and Outliers. J. Mach. Learn. Res. Raymond K. W. Wong, Thomas C. M. Lee
2017	—	`conf`	The impact of discharge inversion effect on learning SRAM power-up statistics. AsianHOST Zhonghao Liao, George T. Amariucai, Raymond K. W. Wong, Yong Guan
2014	J	`jnl`	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. Raymond K. W. Wong
2010	J	`jnl`	Nonparametric cepstrum estimation via optimal risk smoothing. IEEE Trans. Signal Process. Randy C. S. Lai, Thomas C. M. Lee, Raymond K. W. Wong, Fang Yao
2010	J	`jnl`	Structural break estimation of noisy sinusoidal signals. Signal Process. Raymond K. W. Wong, Randy C. S. Lai, Thomas C. M. Lee