Yang Kang
Yang Kang
Department of Statistics, Columbia University
Verified email at stat.columbia.edu - Homepage
Title
Cited by
Cited by
Year
Robust Wasserstein profile inference and applications to machine learning
J Blanchet, Y Kang, K Murthy
Journal of Applied Probability 56 (3), 830-857, 2019
1852019
L-dex ratio in detecting breast cancer-related lymphedema: reliability, sensitivity, and specificity
MR Fu, CM Cleland, AA Guth, M Kayal, J Haber, F Cartwright, R Kleinman, ...
Lymphology 46 (2), 85, 2013
972013
Psychosocial impact of living with cancer-related lymphedema
MR Fu, Y Kang
Seminars in oncology nursing 29 (1), 50-60, 2013
582013
Data-driven optimal transport cost selection for distributionally robust optimization
J Blanchet, Y Kang, K Murthy, F Zhang
2019 Winter Simulation Conference (WSC), 3740-3751, 2019
382019
Sample out-of-sample inference based on Wasserstein distance
J Blanchet, Y Kang
Operations Research, 2021
232021
Distributionally Robust Groupwise Regularization Estimator
J Blanchet, Y Kang
Proceedings of Machine Learning Research 77:97–112, 2017, 2017
232017
Semi‐supervised Learning Based on Distributionally Robust Optimization
J Blanchet, Y Kang
Data Analysis and Applications 3: Computational, Classification, Financial …, 2020
17*2020
Reassessing the relationship between landscape alteration and aquatic ecosystem degradation from a hydrologically sensitive area perspective
Z Qiu, JG Kennen, S Giri, T Walter, Y Kang, Z Zhang
Science of the total environment 650, 2850-2862, 2019
132019
Breast cancer‐related lymphedema and sexual experiences: a mixed‐method comparison study
ME Radina, MR Fu, L Horstman, Y Kang
Psycho‐Oncology 24 (12), 1655-1662, 2015
132015
A comparison of DEM‐based indexes for targeting the placement of vegetative buffers in agricultural watersheds
MG Dosskey, Z Qiu, Y Kang
JAWRA Journal of the American Water Resources Association 49 (6), 1270-1283, 2013
122013
Choosing between alternative placement strategies for conservation buffers using Borda count
Z Qiu, MG Dosskey, Y Kang
Landscape and Urban Planning 153, 66-73, 2016
92016
Measuring lymphedema symptom burdens: a psychometric study
MR Fu, CM Cleland, Y Kang
The Multinational Association of Supportive Care in Cancer’s Annual Meeting …, 2012
52012
A distributionally robust boosting algorithm
J Blanchet, F Zhang, Y Kang, Z Hu
2019 Winter Simulation Conference (WSC), 3728-3739, 2019
42019
Machine Learning's Dropout Training is Distributionally Robust Optimal
J Blanchet, Y Kang, JLM Olea, VA Nguyen, X Zhang
arXiv preprint arXiv:2009.06111, 2020
22020
A Macro Perspective on the Relationship between Farm Size and Agrochemicals Use in China
L Xie, Z Qiu, L You, Y Kang
Sustainability 12 (21), 9299, 2020
22020
Distributionally Robust Optimization and its Applications in Machine Learning
Y Kang
Columbia University, 2017
22017
L-Dex ratio in detecting and diagnosing breast cancer-related lymphedema: Reliability, sensitivity, and specificity.
MR Fu, CM Cleland, AA Guth, M Kayal, J Haber, F Cartwright, R Kleinman, ...
Journal of Clinical Oncology 31 (26_suppl), 12-12, 2013
22013
Data on four criteria for targeting the placement of conservation buffers in agricultural landscapes
Z Qiu, MG Dosskey, Y Kang
Data in brief 7, 1254-1257, 2016
12016
Doubly Robust Data-Driven Distributionally Robust Optimization
J Blanchet, Y Kang, F Zhang, F He, Z Hu
Applied Modeling Techniques and Data Analysis 1, Computational Data Analysis …, 2021
2021
Lymphedema self-management
SH Ridner, CM Qiu, M Kayal, Y Kang, M Fu
LymphLink 26 (1), 29-30, 2014
2014
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