Thomas C. M. Lee
Orcid: 0000-0001-7067-405X
According to our database1,
Thomas C. M. Lee
authored at least 59 papers
between 1994 and 2023.
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Bibliography
2023
Data Min. Knowl. Discov., November, 2023
High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference.
J. Comput. Graph. Stat., January, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
IEEE Trans. Signal Process., 2022
IEEE Trans. Signal Process., 2022
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2022
Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference.
IEEE Trans. Signal Inf. Process. over Networks, 2022
Comput. Stat. Data Anal., 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference.
J. Comput. Graph. Stat., 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Simultaneous Detection of Multiple Change Points and Community Structures in Time Series of Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2020
Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models.
Technometrics, 2020
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting.
SIAM J. Math. Data Sci., 2020
2019
2018
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding.
CoRR, 2018
2017
IEEE Trans. Signal Process., 2017
Signal Process., 2017
High-dimensional variable selection in regression and classification with missing data.
Signal Process., 2017
2014
Comput. Stat. Data Anal., 2014
2013
Morphological feature extraction for statistical learning with applications to solar image data.
Stat. Anal. Data Min., 2013
2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
2010
IEEE Trans. Signal Process., 2010
Comput. Stat. Data Anal., 2010
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the International Conference on Image Processing, 2010
2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Pattern Recognit. Lett., 2008
2007
IEEE Trans. Signal Process., 2007
Robust estimation of the self-similarity parameter in network traffic using wavelet transform.
Signal Process., 2007
Robust penalized regression spline fitting with application to additive mixed modeling.
Comput. Stat., 2007
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007
2006
IEEE Trans. Image Process., 2006
Data Adaptive Median Filters for Signal and Image Denoising Using a Generalized SURE Criterion.
IEEE Signal Process. Lett., 2006
Automatic parameter selection for a <i>k</i>-segments algorithm for computing principal curves.
Pattern Recognit. Lett., 2006
2005
Technometrics, 2005
Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment.
Comput. Stat. Data Anal., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Signal Process., 2004
2003
Nonparametric log spectrum estimation using disconnected regression splines and genetic algorithms.
Signal Process., 2003
Comput. Stat. Data Anal., 2003
2001
Signal Process., 2001
2000
Erratum to: "Bandwidth Selection for Local Linear Regression: A Simulation Study" 4/1999, pp 515-532.
Comput. Stat., 2000
1999
Comput. Stat., 1999
1998
IEEE Trans. Pattern Anal. Mach. Intell., 1998
1997
CVGIP Graph. Model. Image Process., 1997
1994
Proceedings of the 2nd International Symposium on Mathematical Morphology and Its Applications to Image Processing, 1994