7 citations · 7 across the 3 of their papers we have counts for
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stat.ML2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
Arpan Losalka, Jonathan Scarlett
We consider the problem of sequentially maximizing an unknown function over a set of actions of the form , where the selected actions must satisfy a safety cons…
stat.ML2022
Benefits of Monotonicity in Safe Exploration with Gaussian Processes
Arpan Losalka, Jonathan Scarlett
We consider the problem of sequentially maximising an unknown function over a set of actions while ensuring that every sampled point has a function value below a given safety thres…
stat.ML2020★ 7 cited
Stochastic Linear Bandits Robust to Adversarial Attacks
Ilija Bogunovic, Arpan Losalka, Andreas Krause +1
We consider a stochastic linear bandit problem in which the rewards are not only subject to random noise, but also adversarial attacks subject to a suitable budget (i.e., an up…