2020/05/11 · We analyze this algorithm and derive high probability bounds on its simple and cumulative regret. We then prove that the elements of many common ...

We propose the LP-GP-UCB algorithm which augments a Gaussian process surrogate model with local polynomial estimators of the function to construct a multi-scale ...

We propose an algorithm which exploits the existing smoothness properties of functions in the RKHSs associated with many commonly used kernels in order to ...

We propose an algorithm which exploits the existing smoothness properties of functions in the RKHSs associated with many commonly used kernels in order to ...

The kernel trick provides an elegant and natural technique to extend linear models to non-linear models with a great representation power.

2020/05/11 · In this paper, we propose a new algorithm (LP-GP-UCB) where the usual GP surrogate model is augmented with. Local Polynomial (LP) estimators of ...

A new algorithm where the usual GP surrogate model is augmented with Local Polynomial (LP) estimators of the Holder smooth function to construct a ...

Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS. 2022. Lee, Madison;; Shekhar, Shubhanshu;; Javidi, Tara. Published Web Location. https://doi ...

Multi-scale zero-order optimization of smooth functions in an RKHS. M Lee, S Shekhar, T Javidi. 2022 IEEE International Symposium on Information Theory (ISIT), ...

Shubhanshu Shekhar and Tara Javidi. Multi-scale zero-order optimization of smooth functions in an. RKHS. arXiv:2005.04832, 2020. Niranjan Srinivas, Andreas ...