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. 2007.11022
  4. Cited By
A Gradient-based Bilevel Optimization Approach for Tuning
  Hyperparameters in Machine Learning

A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning

21 July 2020
Ankur Sinha
Tanmay Khandait
R. Mohanty
ArXivPDFHTML

Papers citing "A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning"

4 / 4 papers shown
Title
Optimizing Training Trajectories in Variational Autoencoders via Latent
  Bayesian Optimization Approach
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach
Arpan Biswas
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDL
DRL
19
10
0
30 Jun 2022
Learning to Robustly Aggregate Labeling Functions for Semi-supervised
  Data Programming
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
Ayush Maheshwari
Krishnateja Killamsetty
Ganesh Ramakrishnan
Rishabh K. Iyer
Marina Danilevsky
Lucian Popa
38
16
0
23 Sep 2021
Investigating Bi-Level Optimization for Learning and Vision from a
  Unified Perspective: A Survey and Beyond
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
59
223
0
27 Jan 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
110
717
0
13 Jun 2018
1