Scholar
Alexander Terenin
Google Scholar ID: EGKYdiwAAAAJ
Cornell University
decision-making under uncertainty
machine learning
probability
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Citations & Impact
All-time
Citations
1,059
H-index
15
i10-index
19
Publications
20
Co-authors
61
list available
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Publications
6 items
A Bayesian Approach for Task-Specific Next-Best-View Selection with Uncertain Geometry
2026
Cited
0
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
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
12 total
Viacheslav Borovitskiy
Assistant Professor (Lecturer) at the University of Edinburgh
Marc Deisenroth
University College London and Google DeepMind
Måns Magnusson
Department of Statistics, Uppsala University, Sweden
James T. Wilson
Imperial College London
Nicolas Durrande
Principal Scientist at Monumo
Noémie Jaquier
KTH - Royal Institute of Technology
Leonel Rozo
Bosch Center for Artificial Intelligence
Shreyas Padhy
University of Cambridge