Search

Search Results

1. Improving GP-UCB Algorithm by Harnessing Decomposed Feedback

   Gaussian processes (GPs) have been widely applied to machine learning and nonparametric approximation. Given existing observations, a GP allows the...

   Kai Wang, Bryan Wilder, ... Milind Tambe in Machine Learning and Knowledge Discovery in Databases

   Conference paper 2020
   

2. Conservative Online Convex Optimization

   Online learning algorithms often have the issue of exhibiting poor performance during the initial stages of the optimization procedure, which in...

   Martino Bernasconi de Luca, Edoardo Vittori, ... Marcello Restelli in Machine Learning and Knowledge Discovery in Databases. Research Track

   Conference paper 2021
   

3. A Privacy Preserving Bayesian Optimization with High Efficiency

   Bayesian optimization is a powerful machine learning technique for solving experimental design problems. With its use in industrial design...

   Thanh Dai Nguyen, Sunil Gupta, ... Svetha Venkatesh in Advances in Knowledge Discovery and Data Mining

   Conference paper 2018
   

4. Thompson Sampling for Optimizing Stochastic Local Search

   Stochastic local search (SLS), like many other stochastic optimization algorithms, has several parameters that need to be optimized in order for the...

   Tong Yu, Branislav Kveton, Ole J. Mengshoel in Machine Learning and Knowledge Discovery in Databases

   Conference paper 2017
   

5. A multiple surrogates based PSO algorithm

   Particle swarm optimization (PSO) usually requires a large number of fitness evaluations to obtain a sufficiently good solution, which poses an...

   Zhiming Lv, Jun Zhao, ... Quanli Liu in Artificial Intelligence Review

   Article 03 January 2018