Ananth Mahadevan

Machine Learning PhD Student

University of Helsinki

Biography

I am a PhD student in the Department of Computer Science at the University of Helsinki. I am supervised by Associate Professor Michael Mathioudakis from the Algorithmic Data Science group. My PhD topic is on “Efficient end-to-end Machine Learning Pipelines”.

Interests

Systems for Machine Learning
Machine Unlearning
Graphs and Networks

Education

MSc (Technology) in Machine Learning, Data Science and Artificial Intelligence, 2020
Aalto University, Finland
BEng in Computer Science & Engineering, 2018
R.V. College of Engineering, India

Recent Publications

Ananth Mahadevan, Arpit Merchant, Yanhao Wang, Michael Mathioudakis (2022). Robustness of Sketched Linear Classifiers to Adversarial Attacks. CIKM.

PDF Cite Code DOI

Arpit Merchant, Ananth Mahadevan, Michael Mathioudakis (2022). Scalably Using Node Attributes and Graph Structure for Node Classification. Entropy.

PDF Cite Code DOI

Ananth Mahadevan, Michael Mathioudakis (2022). Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study. Machine Learning and Knowledge Extraction.

PDF Cite Code DOI Arvix

Bruno Ordozgiti, Ananth Mahadevan, Antonis Matakos, Aristides Gionis (2022). Provable randomized rounding for minimum-similarity diversification. In DAMI.

PDF Cite Code DOI