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 (NIPS, 2013)

Logistic Regression with Structured Sparsity. - Nikhil S. Rao; Robert D. Nowak; Christopher R. Cox; Timothy T. Rogers (CoRR, 2014)

Representational Similarity Learning with Application to Brain Networks. - Urvashi Oswal; Christopher R. Cox; Matthew A. Lambon Ralph; Timothy T. Rogers; Robert D. Nowak (ICML, 2016)

Classification With the Sparse Group Lasso. - Nikhil Rao 001; Robert D. Nowak; Christopher R. Cox; Timothy T. Rogers (IEEE Trans. Signal Process., 2016)

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 (CogSci, 2018)

Efficiency of Learning in Experience-Limited Domains: Generalization Beyond the Wug Test. - Christopher R. Cox; Matthew Cooper Borkenhagen; Mark S. Seidenberg (CogSci, 2019)

Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation. - Shuo Zhou; Christopher R. Cox; Haiping Lu (MLMI@MICCAI, 2019)

Domain Independent SVM for Transfer Learning in Brain Decoding. - Shuo Zhou; Wenwen Li; Christopher R. Cox; Haiping Lu (CoRR, 2019)

Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments. - Shuo Zhou; Wenwen Li; Christopher R. Cox; Haiping Lu (AAAI, 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 (CogSci, 2020)

Learning to Read through Machine Teaching. - Ayon Sen; Christopher R. Cox; Matthew Cooper Borkenhagen; Mark S. Seidenberg; Xiaojin Zhu 001 (CoRR, 2020)