Joshua K. Lee

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 7

Top Topics

Machine Learning

Autistic Children

Text Classification

Fluid Registration

Top Venues

Publications

Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
Selective Regression under Fairness Criteria. ICML (2022)
Brandon A. Zielinski, Derek S. Andrews, Joshua K. Lee, Marjorie Solomon, Sally J. Rogers, Brianna Heath, Christine Wu Nordahl, David G. Amaral
Sex-dependent structure of socioemotional salience, executive control, and default mode networks in preschool-aged children with autism. NeuroImage 257 (2022)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. ICASSP (2022)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris
A Maximal Correlation Framework for Fair Machine Learning. Entropy 24 (4) (2022)
Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell
Fair Selective Classification Via Sufficiency. ICML (2021)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. CoRR (2020)
Joshua K. Lee, Prasanna Sattigeri, Gregory W. Wornell
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks. NeurIPS (2019)
Joshua K. Lee, Arne D. Ekstrom, Simona Ghetti
Volume of hippocampal subfields and episodic memory in childhood and adolescence. NeuroImage 94 (2014)