Bayesian Optimization over Permutation Spaces

1 code implementation • 2 Dec 2021 • Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim

First, BOPS-T employs Gaussian process (GP) surrogate model with Kendall kernels and a Tractable acquisition function optimization approach based on Thompson sampling to select the sequence of permutations for evaluation.

Bayesian Optimization Thompson Sampling

Finding Solutions to Generative Adversarial Privacy

no code implementations • 4 Oct 2018 • Dae Hyun Kim, Taeyoung Kong, Seungbin Jeong

We present heuristics for solving the maximin problem induced by the generative adversarial privacy setting for linear and convolutional neural network (CNN) adversaries.