Xingye Qiao

According to our database, Xingye Qiao authored at least 23 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Learning Acceptance Regions for Many Classes with Anomaly Detection.

Zhou Wang, Xingye Qiao

CoRR, 2022

Enhanced Nearest Neighbor Classification for Crowdsourcing.

Jiexin Duan, Xingye Qiao, Guang Cheng

CoRR, 2022

2020

Near-optimal Individualized Treatment Recommendations.

Haomiao Meng, Ying-Qi Zhao, Haoda Fu, Xingye Qiao

J. Mach. Learn. Res., 2020

Covariance-engaged Classification of Sets via Linear Programming.

Zhao Ren, Sungkyu Jung, Xingye Qiao

CoRR, 2020

Statistical Guarantees of Distributed Nearest Neighbor Classification.

Jiexin Duan, Xingye Qiao, Guang Cheng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mutual Transfer Learning for Massive Data.

Ching-Wei Cheng, Xingye Qiao, Guang Cheng

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning.

Andrew Cohen, Lei Yu, Xingye Qiao, Xiangrong Tong

CoRR, 2019

Towards Run Time Estimation of the Gaussian Chemistry Code for SEAGrid Science Gateway.

Angel Beltre, Shehtab Zaman, Kenneth Chiu, Sudhakar Pamidighantam, Xingye Qiao, Madhusudhan Govindaraju

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Rates of Convergence for Large-scale Nearest Neighbor Classification.

Xingye Qiao, Jiexin Duan, Guang Cheng

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Diverse Exploration via Conjugate Policies for Policy Gradient Methods.

Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Sparse Fisher's linear discriminant analysis for partially labeled data.

Qiyi Lu, Xingye Qiao

Stat. Anal. Data Min., 2018

Learning Confidence Sets using Support Vector Machines.

Wenbo Wang, Xingye Qiao

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015

Flexible high-dimensional classification machines and their asymptotic properties.

Xingye Qiao, Lingsong Zhang

J. Mach. Learn. Res., 2015

Significance Analysis of High-Dimensional, Low-Sample Size Partially Labeled Data.

Qiyi Lu, Xingye Qiao

CoRR, 2015

CFQI: Fitted Q-Iteration with Complex Returns.

Robert William Wright, Xingye Qiao, Lei Yu, Steven Loscalzo

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Improving Approximate Value Iteration with Complex Returns by Bounding.

Robert William Wright, Xingye Qiao, Steven Loscalzo, Lei Yu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Nearest Neighbor Classifier with Optimal Stability.

Wei Sun, Xingye Qiao, Guang Cheng

CoRR, 2014

2012

GRNN Ensemble Classifier for Lung Cancer Prognosis Using Only Demographic and TNM features.

J. David Schaffer, Jin-Woo Park, Erin Barnes, Qiyi Lu, Xingye Qiao, Youping Deng, Yan Li, Walker H. Land Jr.

Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

PNN/GRNN Ensemble Processor Design for Early Screening of Breast Cancer.

Walker H. Land Jr., Xinpei Ma, Erin Barnes, Xingye Qiao, John J. Heine, Timothy Masters, Jin-Woo Park

Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

2011

A complex adaptive system using statistical learning theory as an inline preprocess for clinical survival analysis.

Dan Margolis, Walker H. Land Jr., Ronald Gottlieb, Xingye Qiao

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

A new tool for survival analysis: evolutionary programming/evolutionary strategies (EP/ES) support vector regression hybrid using both censored / non-censored (event) data.

Walker H. Land Jr., Xingye Qiao, Dan Margolis, Ronald Gottlieb

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Partial Least Squares (PLS) Applied to Medical Bioinformatics.

Walker H. Land Jr., William S. Ford, Jin-Woo Park, Ravi Mathur, Nathan Hotchkiss, John J. Heine, Steven Eschrich, Xingye Qiao, Timothy Yeatman

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Kernelized partial least squares for feature reduction and classification of gene microarray data.

Walker H. Land Jr., Xingye Qiao, Daniel Margolis, William S. Ford, Christopher T. Paquette, Joseph F. Perez-Rogers, Jeffrey A. Borgia, Jack Y. Yang, Youping Deng

BMC Syst. Biol., 2011