Difan Deng

According to our database1, Difan Deng authored at least 10 papers between 2020 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks.
Trans. Mach. Learn. Res., 2024

Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach.
CoRR, 2024

2023
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges.
WIREs Data. Mining. Knowl. Discov., 2023

MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information.
Trans. Mach. Learn. Res., 2023

2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.
J. Mach. Learn. Res., 2022

Efficient Automated Deep Learning for Time Series Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Searching in the Forest for Local Bayesian Optimization.
Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.
CoRR, 2021

Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization.
CoRR, 2021

2020
Squirrel: A Switching Hyperparameter Optimizer.
CoRR, 2020


  Loading...