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cs.LG2023
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds
Anastasia Borovykh, Nikolas Kantas, Panos Parpas +1
The privacy preserving properties of Langevin dynamics with additive isotropic noise have been extensively studied. However, the isotropic noise assumption is very restrictive: (a)…
cs.LG2022★ 13 cited
Joint Entropy Search for Multi-objective Bayesian Optimization
Ben Tu, Axel Gandy, Nikolas Kantas +1
Many real-world problems can be phrased as a multi-objective optimization problem, where the goal is to identify the best set of compromises between the competing objectives. Multi…