Scholar
Parnian Kassraie
Google Scholar ID: GFDOkb0AAAAJ
Google DeepMind
Machine Learning
Optimization
Sampling
Statistics
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Citations & Impact
All-time
Citations
179
H-index
8
i10-index
6
Publications
12
Co-authors
13
list available
Contact
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Publications
3 items
RewardUQ: A Unified Framework for Uncertainty-Aware Reward Models
2026
Cited
0
LITE: Efficiently Estimating Gaussian Probability of Maximality
2025
Cited
0
Bandits with Preference Feedback: A Stackelberg Game Perspective
Neural Information Processing Systems · 2024
Cited
5
Resume (English only)
Academic Achievements
Awarded a Google PhD Fellowship in Machine Intelligence.
Received the G-Research PhD Prize in Mathematics.
Awarded the ETH Doc.Mobility Fellowship for a research visit with Aaditya Ramdas.
Thesis titled: 'Learning to Optimize in Structured Environments'.
Paper 'Instance-Dependent Generalization Bounds via OT' accepted to JMLR.
Organizing the EXAIT workshop at ICML 2025.
Organizing the 'Two Faces of Optimization' workshop at ETH Zurich.
Served as head teaching assistant for 'Probabilistic Artificial Intelligence'.
Co-authors
13 total
Andreas Krause
Professor of Computer Science, ETH Zurich
Jonas Rothfuss
Research Scientist @ Google DeepMind
Ilija Bogunovic
Assistant professor, UCL
Aram-Alexandre Pooladian
Yale University
Jonathan Niles-Weed
New York University
James Thornton
Google DeepMind | University of Oxford
Miles Wang-Henderson
Terray Therapeutics
Aldo Pacchiano
Boston University and Broad Institute of MIT and Harvard
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