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. 1703.02628
  4. Cited By
Global optimization of Lipschitz functions

Global optimization of Lipschitz functions

7 March 2017
C. Malherbe
Nicolas Vayatis
ArXivPDFHTML

Papers citing "Global optimization of Lipschitz functions"

12 / 12 papers shown
Title
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
Fares Fourati
Salma Kharrat
Vaneet Aggarwal
Mohamed-Slim Alouini
65
0
0
06 Feb 2025
Parameter-Free Algorithms for Performative Regret Minimization under
  Decision-Dependent Distributions
Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions
Sungwoo Park
Junyeop Kwon
Byeongnoh Kim
Suhyun Chae
Jeeyong Lee
Dabeen Lee
29
0
0
23 Feb 2024
Wave Physics-informed Matrix Factorizations
Wave Physics-informed Matrix Factorizations
Harsha Vardhan Tetali
J. Harley
B. Haeffele
46
0
0
21 Dec 2023
Robustness Analysis of Continuous-Depth Models with Lagrangian
  Techniques
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques
Sophie A. Neubauer
Radu Grosu
20
0
0
23 Aug 2023
Global Optimization with Parametric Function Approximation
Global Optimization with Parametric Function Approximation
Chong Liu
Yu-Xiang Wang
36
7
0
16 Nov 2022
Statistical, Robustness, and Computational Guarantees for Sliced
  Wasserstein Distances
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert
Ritwik Sadhu
Ziv Goldfeld
Kengo Kato
38
37
0
17 Oct 2022
Efficient Minimax Optimal Global Optimization of Lipschitz Continuous
  Multivariate Functions
Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions
Kaan Gokcesu
Hakan Gokcesu
20
2
0
06 Jun 2022
Combining Lipschitz and RBF Surrogate Models for High-dimensional
  Computationally Expensive Problems
Combining Lipschitz and RBF Surrogate Models for High-dimensional Computationally Expensive Problems
J. Kůdela
R. Matousek
24
29
0
29 Apr 2022
Comparative analysis of machine learning methods for active flow control
Comparative analysis of machine learning methods for active flow control
F. Pino
Lorenzo Schena
Jean Rabault
M. A. Mendez
28
43
0
23 Feb 2022
GoTube: Scalable Stochastic Verification of Continuous-Depth Models
GoTube: Scalable Stochastic Verification of Continuous-Depth Models
Sophie Gruenbacher
Mathias Lechner
Ramin Hasani
Daniela Rus
T. Henzinger
S. Smolka
Radu Grosu
26
17
0
18 Jul 2021
Deep Learning for Bayesian Optimization of Scientific Problems with
  High-Dimensional Structure
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure
Samuel Kim
Peter Y. Lu
Charlotte Loh
Jamie Smith
Jasper Snoek
M. Soljavcić
BDL
AI4CE
136
17
0
23 Apr 2021
On The Verification of Neural ODEs with Stochastic Guarantees
On The Verification of Neural ODEs with Stochastic Guarantees
Sophie Gruenbacher
Ramin Hasani
Mathias Lechner
J. Cyranka
S. Smolka
Radu Grosu
77
31
0
16 Dec 2020
1