Scholar
Anastasia Koloskova
Google Scholar ID: ldJpvE8AAAAJ
Assistant Professor, University of Zurich
Citations & Impact
Citations
2,432
H-index
15
i10-index
17
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - 'Certified Unlearning for Neural Networks', ICML 2025
- - 'On Convergence of Incremental Gradient for Non-Convex Smooth Functions', ICML 2024
- - 'The Privacy Power of Correlated Noise in Decentralized Learning', ICML 2024
- - 'Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization', AISTATS 2024
- - Awards:
- - ELLIS PhD Awards
- - EPFL Thesis Distinction Award
- - MIT Rising Star in EECS
Research Experience
- - Postdoctoral Researcher at Stanford University, STAIR lab, with Prof. Sanmi Koyejo
- - Assistant Professor at the Department of Mathematical Modeling and Machine Learning, University of Zurich
Education
- - PhD: École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, Laboratory of Machine Learning and Optimization (MLO), supervised by Prof. Martin Jaggi
- - During her PhD, she was supported by a Google PhD Fellowship and spent time at FAIR (Facebook AI Research) and Google Research
- - Her PhD thesis received ELLIS PhD Awards and EPFL Thesis Distinction Award
Background
- - Research Interests: Machine learning, optimization, decentralized and collaborative learning, privacy
- - Professional Field: Assistant Professor of AI and Optimization at the University of Zurich
- - Brief Introduction: Assistant Professor at the Department of Mathematical Modeling and Machine Learning, University of Zurich, looking for PhD students and postdocs
Miscellany
- - Looking for PhD students and postdocs
- - Research interests also include optimization, federated learning, privacy, and unlearning
