7 citations · 7 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
Partha Ghosh, Arpan Losalka, Michael J Black
Susceptibility of deep neural networks to adversarial attacks poses a major theoretical and practical challenge. All efforts to harden classifiers against such attacks have seen li…