ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.07563
  4. Cited By
Non-smooth Bayesian Optimization in Tuning Problems

Non-smooth Bayesian Optimization in Tuning Problems

15 September 2021
Hengrui Luo
J. Demmel
Younghyun Cho
Xin Li
Yang Liu
ArXivPDFHTML

Papers citing "Non-smooth Bayesian Optimization in Tuning Problems"

15 / 15 papers shown
Title
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
Younghyun Cho
James Demmel
Michal Derezinski
Haoyun Li
Hengrui Luo
Michael W. Mahoney
Riley Murray
37
6
0
30 Aug 2023
Convergence Guarantees for Gaussian Process Means With Misspecified
  Likelihoods and Smoothness
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness
George Wynne
F. Briol
Mark Girolami
62
56
0
29 Jan 2020
Bayesian Optimization for Iterative Learning
Bayesian Optimization for Iterative Learning
Vu-Linh Nguyen
Sebastian Schulze
Michael A. Osborne
BDL
83
33
0
20 Sep 2019
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Binxin Ru
A. Alvi
Vu Nguyen
Michael A. Osborne
Stephen J. Roberts
106
97
0
20 Jun 2019
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm
Defeng Sun
Kim-Chuan Toh
Yancheng Yuan
38
67
0
04 Oct 2018
Dealing with Integer-valued Variables in Bayesian Optimization with
  Gaussian Processes
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes
E.C. Garrido-Merchán
Daniel Hernández-Lobato
98
231
0
12 Jun 2017
Predictive Entropy Search for Efficient Global Optimization of Black-box
  Functions
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato
Matthew W. Hoffman
Zoubin Ghahramani
107
647
0
10 Jun 2014
Deep Gaussian Processes
Deep Gaussian Processes
Andreas C. Damianou
Neil D. Lawrence
GP
BDL
127
1,182
0
02 Nov 2012
Joint Optimization and Variable Selection of High-dimensional Gaussian
  Processes
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes
Bo Chen
R. Castro
Andreas Krause
GP
76
87
0
27 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
353
7,942
0
13 Jun 2012
Convergence rates of efficient global optimization algorithms
Convergence rates of efficient global optimization algorithms
Adam D. Bull
119
641
0
18 Jan 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with
  Application to Active User Modeling and Hierarchical Reinforcement Learning
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
E. Brochu
Vlad M. Cora
Nando de Freitas
GP
138
2,448
0
12 Dec 2010
Particle learning of Gaussian process models for sequential design and
  optimization
Particle learning of Gaussian process models for sequential design and optimization
R. Gramacy
Nicholas G. Polson
94
124
0
29 Sep 2009
Bayesian treed Gaussian process models with an application to computer
  modeling
Bayesian treed Gaussian process models with an application to computer modeling
R. Gramacy
Herbert K. H. Lee
184
679
0
24 Oct 2007
Bayesian Online Changepoint Detection
Bayesian Online Changepoint Detection
Ryan P. Adams
D. MacKay
234
769
0
19 Oct 2007
1