4 accepted papers
Automatically generating high-quality code descriptions greatly improves the readability and maintainability of the codebase. Recently, retrieval augmented code-to-text generation has proven to be an effective solution, which has achieved state-of-the-art results on various benchmarks. It brings out…
As a classical problem, online optimization with switching cost has been studied for a long time due to its wide applications in various areas. However, few works have investigated the bandit setting where both the forms of the main cost function $f(x)$ evaluated at state $x$ and the switching cost…
Bayesian optimization is a popular method for optimizing expensive black-box functions. Yet it oftentimes struggles in high dimensions, where the computation could be prohibitively heavy. While a complex kernel with many length scales is prone to overfitting and expensive to train, a simple coarse k…
Motivated by the increasing concern about privacy in nowadays data-intensive online learning systems, we consider a black-box optimization in the nonparametric Gaussian process setting with local differential privacy (LDP) guarantee. Specifically, the rewards from each user are further corrupted to…