Thomas C. M. Lee

IEEE Trans. Netw. Sci. Eng., 2024

Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging.

[BibT_eX]

[DOI]

Xiawei Wang

James Sharpnack

CoRR, 2024

Low-rank Matrix Bandits with Heavy-tailed Rewards.

[BibT_eX]

[DOI]

CoRR, 2024

Uncovering Distortion Differences: A Study of Adversarial Attacks and Machine Discriminability.

[BibT_eX]

[DOI]

IEEE Access, 2024

2023

Fast block-wise partitioning for extreme multi-label classification.

[BibT_eX]

[DOI]

Yuefeng Liang

Data Min. Knowl. Discov., November, 2023

High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference.

[BibT_eX]

[DOI]

Zhenyu Wei

J. Comput. Graph. Stat., January, 2023

Online Continuous Hyperparameter Optimization for Contextual Bandits.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Lipschitz Bandits to Adversarial Corruptions.

[BibT_eX]

[DOI]

Thomas Chun Man Lee

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

2022

Change Point Detection and Node Clustering for Time Series of Graphs.

[BibT_eX]

[DOI]

Cong Xu

IEEE Trans. Signal Process., 2022

Uncertainty Quantification for Sparse Estimation of Spectral Lines.

[BibT_eX]

[DOI]

Yi Han

IEEE Trans. Signal Process., 2022

Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks.

[BibT_eX]

[DOI]

Cong Xu

IEEE Trans. Signal Inf. Process. over Networks, 2022

Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference.

[BibT_eX]

[DOI]

Yi Su

IEEE Trans. Signal Inf. Process. over Networks, 2022

Uncertainty quantification for honest regression trees.

[BibT_eX]

[DOI]

Suofei Wu

Comput. Stat. Data Anal., 2022

High-probability bounds for robust stochastic Frank-Wolfe algorithm.

[BibT_eX]

[DOI]

Tongyi Tang

Krishna Balasubramanian

Thomas Chun Man Lee

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems.

[BibT_eX]

[DOI]

Thomas Chun Man Lee

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhenyu Wei

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference.

[BibT_eX]

[DOI]

Randy C. S. Lai

J. Comput. Graph. Stat., 2021

A Review of Adversarial Attack and Defense for Classification Methods.

[BibT_eX]

[DOI]

CoRR, 2021

Detecting Adversarial Examples with Bayesian Neural Network.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Robustness of Deep Neural Networks via Regularization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2020

Network Estimation via Graphon With Node Features.

[BibT_eX]

[DOI]

Yi Su

IEEE Trans. Netw. Sci. Eng., 2020

Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models.

[BibT_eX]

[DOI]

Technometrics, 2020

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting.

[BibT_eX]

[DOI]

Miles E. Lopes

Suofei Wu

SIAM J. Math. Data Sci., 2020

2019

Locally linear embedding with additive noise.

[BibT_eX]

[DOI]

Justin Wang

Pattern Recognit. Lett., 2019

2018

Segmenting Dynamic Network Data.

[BibT_eX]

[DOI]

Rex C. Y. Cheung

Alexander Aue

CoRR, 2018

Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding.

[BibT_eX]

[DOI]

CoRR, 2018

Block-wise Partitioning for Extreme Multi-label Classification.

[BibT_eX]

[DOI]

Yuefeng Liang

CoRR, 2018

2017

Consistent Estimation for Partition-Wise Regression and Classification Models.

[BibT_eX]

[DOI]

Rex C. Y. Cheung

Alexander Aue

IEEE Trans. Signal Process., 2017

Nonparametric modeling and break point detection for time series signal of counts.

[BibT_eX]

[DOI]

Qi Gao

Chun Yip Yau

Signal Process., 2017

High-dimensional variable selection in regression and classification with missing data.

[BibT_eX]

[DOI]

Qi Gao

Signal Process., 2017

Matrix Completion with Noisy Entries and Outliers.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

2014

Computational issues of generalized fiducial inference.

[BibT_eX]

[DOI]

Randy C. S. Lai

Comput. Stat. Data Anal., 2014

2013

Morphological feature extraction for statistical learning with applications to solar image data.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2013

2011

Fiducial Inference.

[BibT_eX]

[DOI]

Hari Iyer

Proceedings of the International Encyclopedia of Statistical Science, 2011

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

Signal Process., 2010

On nonparametric local inference for density estimation.

[BibT_eX]

[DOI]

Ngai Hang Chan

Liang Peng

Comput. Stat. Data Anal., 2010

Stabilized thresholding with generalized sure for image denoising.

[BibT_eX]

[DOI]

Hsin-Cheng Huang

Proceedings of the International Conference on Image Processing, 2010

Statistically consistent image segmentation.

[BibT_eX]

[DOI]

Alexander Aue

Proceedings of the International Conference on Image Processing, 2010

2009

Nonparametric spectral density estimation with missing observations.

[BibT_eX]

[DOI]

Zhengyuan Zhu

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Extraction of curvilinear features from noisy point patterns using principal curves.

[BibT_eX]

[DOI]

Haonan Wang

Pattern Recognit. Lett., 2008

2007

Spectral Density Estimation Using Sharpened Periodograms.

[BibT_eX]

[DOI]

Fang Yao

IEEE Trans. Signal Process., 2007

Robust estimation of the self-similarity parameter in network traffic using wavelet transform.

[BibT_eX]

[DOI]

Haipeng Shen

Zhengyuan Zhu

Signal Process., 2007

Robust penalized regression spline fitting with application to additive mixed modeling.

[BibT_eX]

[DOI]

Hee-Seok Oh

Comput. Stat., 2007

Curvilinear Feature Extraction for Noisy Point Pattern Images.

[BibT_eX]

[DOI]

Haonan Wang

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006

Pattern Generation Using Likelihood Inference for Cellular Automata.

[BibT_eX]

[DOI]

Radu V. Craiu

IEEE Trans. Image Process., 2006

Data Adaptive Median Filters for Signal and Image Denoising Using a Generalized SURE Criterion.

[BibT_eX]

[DOI]

Hsin-Cheng Huang

IEEE Signal Process. Lett., 2006

Automatic parameter selection for a <i>k</i>-segments algorithm for computing principal curves.

[BibT_eX]

[DOI]

Haonan Wang

Pattern Recognit. Lett., 2006

2005

Model Selection for the Competing-Risks Model With and Without Masking.

[BibT_eX]

[DOI]

Radu V. Craiu

Technometrics, 2005

Hybrid local polynomial wavelet shrinkage: wavelet regression with automatic boundary adjustment.

[BibT_eX]

[DOI]

Hee-Seok Oh

Comput. Stat. Data Anal., 2005

A Self-Consistent Wavelet Method for Denoising Images with Missing Pixels.

[BibT_eX]

[DOI]

Xiao-Li Meng

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Kernel smoothing of periodograms under Kullback-Leibler discrepancy.

[BibT_eX]

[DOI]

Signal Process., 2004

Automatic polynomial wavelet regression.

[BibT_eX]

[DOI]

Hee-Seok Oh

Stat. Comput., 2004

2003

Nonparametric log spectrum estimation using disconnected regression splines and genetic algorithms.

[BibT_eX]

[DOI]

Tan F. Wong

Signal Process., 2003

Smoothing parameter selection for smoothing splines: a simulation study.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2003

2001

A stabilized bandwidth selection method for kernel smoothing of the periodogram.

[BibT_eX]

[DOI]

Signal Process., 2001

2000

Erratum to: "Bandwidth Selection for Local Linear Regression: A Simulation Study" 4/1999, pp 515-532.

[BibT_eX]

[DOI]

Victor Solo

Comput. Stat., 2000

1999

Bandwidth selection for local linear regression: A simulation study.

[BibT_eX]

[DOI]

Victor Solo

Comput. Stat., 1999

1998

Segmenting Images Corrupted by Correlated Noise.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1998

1997

Nonparametric Estimation and Simulation of Two-Dimensional Gaussian Image Textures.

[BibT_eX]

[DOI]

Mark Berman

CVGIP Graph. Model. Image Process., 1997

1994

A Stochastic Tessellation of Digital Space.

[BibT_eX]

[DOI]