Scholar
Alexander Terenin
Google Scholar ID: EGKYdiwAAAAJ
Cornell University
decision-making under uncertainty
machine learning
probability
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,059
H-index
15
i10-index
19
Publications
20
Co-authors
61
list available
Contact
CV
Open ↗
Twitter
Open ↗
GitHub
Open ↗
Publications
5 items
Cost-aware Stopping for Bayesian Optimization
2025
Cited
0
The Gittins Index: A Design Principle for Decision-Making Under Uncertainty
2025
Cited
0
Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes
2025
Cited
0
An Adversarial Analysis of Thompson Sampling for Full-information Online Learning: from Finite to Infinite Action Spaces
2025
Cited
0
Cost-aware Bayesian optimization via the Pandora's Box Gittins index
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
Paper: 'The Gittins Index: A Design Principle for Decision-Making Under Uncertainty', INFORMS Tutorials in OR 2025
Paper: 'Bayesian Algorithms for Adversarial Online Learning: from Finite to Infinite Action Spaces', preprint, co-authored with Jeffrey Negrea
Paper: 'Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes', ICML 2025
Paper: 'Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index', NeurIPS 2024
Paper: 'Multi-objective Bayesian optimisation for design of Pareto-optimal current drive profiles in STEP', IEEE Transactions on Plasma Science 2024
PhD Thesis: 'Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces'
Paper: 'Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels', CoRL 2021
Paper: 'Pathwise Conditioning of Gaussian Processes', JMLR 2021
Paper: 'Efficiently Sampling Functions from Gaussian Process Posteriors', ICML 2020
Paper: 'Stochastic Gradient Descent for Gaussian Processes Done Right', ICLR 2024
Co-authors
61 total
Viacheslav Borovitskiy
Assistant Professor (Lecturer) at the University of Edinburgh
Marc Deisenroth
University College London and Google DeepMind
Co-author 3
Måns Magnusson
Department of Statistics, Uppsala University, Sweden
Co-author 5
Co-author 6
Co-author 7
Co-author 8
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up