Mert Al

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 10

Top Topics

Subspace Projection

Multiple Kernel Learning

Privacy Preserving

Top Venues

IEEE Trans. Inf. Theory

Publications

Mert Al, Semih Yagli, Sun-Yuan Kung
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Mert Al, Semih Yagli, Sun-Yuan Kung
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. CoRR (2020)
Mert Al, Zejiang Hou, Sun-Yuan Kung
Scalable Kernel Learning Via the Discriminant Information. ICASSP (2020)
Alex Dytso, Mert Al, H. Vincent Poor, Shlomo Shamai Shitz
On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective. IEEE Trans. Inf. Theory 65 (6) (2019)
Mert Al, Zejiang Hou, Sun-Yuan Kung
Scalable Kernel Learning via the Discriminant Information. CoRR (2019)
Mert Al, Thee Chanyaswad, Sun-Yuan Kung
Supervising Nyström Methods via Negative Margin Support Vector Selection. CoRR (2018)
Mert Al, Thee Chanyaswad, Sun-Yuan Kung
Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning. ICASSP (2018)
Thee Chanyaswad, Mert Al, Sun-Yuan Kung
Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information. ICASSP (2018)
Mert Al, Shibiao Wan, Sun-Yuan Kung
Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection. CoRR (2017)
Thee Chanyaswad, Mert Al, J. Morris Chang, Sun-Yuan Kung
Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification. MLSP (2017)