Christopher R. Cox

According to our database, Christopher R. Cox authored at least 11 papers between 2013 and 2020.

Collaborative distances:

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

2020

Learning to Read through Machine Teaching.

Ayon Sen, Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg, Xiaojin Zhu

CoRR, 2020

Enhancing generalization through an optimized sequential curriculum: Learning (to read) through machine teaching.

Matthew Cooper Borkenhagen, Ayon Sen, Mark S. Seidenberg, Jerry Zhu, Christopher R. Cox

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments.

Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Domain Independent SVM for Transfer Learning in Brain Decoding.

Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu

CoRR, 2019

Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation.

Shuo Zhou, Christopher R. Cox, Haiping Lu

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Efficiency of Learning in Experience-Limited Domains: Generalization Beyond the Wug Test.

Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Learning to read with a machine teacher: Discovering efficient procedures for training the orth-to-phon relationships in English.

Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2016

Classification With the Sparse Group Lasso.

Nikhil Rao, Robert D. Nowak, Christopher R. Cox, Timothy T. Rogers

IEEE Trans. Signal Process., 2016

Representational Similarity Learning with Application to Brain Networks.

Urvashi Oswal, Christopher R. Cox, Matthew A. Lambon Ralph, Timothy T. Rogers, Robert D. Nowak

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Logistic Regression with Structured Sparsity.

Nikhil S. Rao, Robert D. Nowak, Christopher R. Cox, Timothy T. Rogers

CoRR, 2014

2013

Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis.

Nikhil S. Rao, Christopher R. Cox, Robert D. Nowak, Timothy T. Rogers

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013