Personal profile
Research interests
My current research interests are machine learning in high dimensions using random projections and other dimension reduction techniques and concentration of measure. My goal is to find whether machine learning is for efficient when the data possesses a low intrinsic dimension.
Biography
I have a BSc and MSc in Statistics. I have aquired relevant work experience in the past years by working in financial and administrative positions. I am currently a PhD student in Computer Science at University of Birmingham, doing research on machine learning.
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Collaborations and top research areas from the last five years
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Sample Complexity of Composite Quantum Hypothesis Testing
Simpson, J. P., Palias, E. & Jose, S. T., 28 Mar 2026, (Accepted/In press) 2026 IEEE International Symposium on Information Theory (ISIT). IEEE, (IEEE International Symposium on Information Theory proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
A Bhattacharyya-type conditional error bound for quadratic discriminant analysis
Kaban, A. & Palias, E., Dec 2024, In: Methodology and Computing in Applied Probability. 26, 4, 17 p., 38.Research output: Contribution to journal › Article › peer-review
Open AccessFile57 Downloads (Pure) -
Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension
Palias, E. & Kaban, A., 9 Sept 2024, 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 8 p. 10649958. (Proceedings of International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile325 Downloads (Pure) -
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification
Palias, E. & Kabán, A., Aug 2023, In: Statistics and Computing. 33, 4, 17 p., 87.Research output: Contribution to journal › Article › peer-review
Open AccessFile90 Downloads (Pure)