"hyperparameter tuning" Papers
10 papers found
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
Lequan Lin, Dai Shi, Andi Han et al.
ICLR 2025posterarXiv:2410.05697
Power Lines: Scaling laws for weight decay and batch size in LLM pre-training
Shane Bergsma, Nolan Dey, Gurpreet Gosal et al.
NeurIPS 2025posterarXiv:2505.13738
15
citations
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
NeurIPS 2025posterarXiv:2510.24288
ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
Ziao Guo, Yang Li, Chang Liu et al.
ICML 2024spotlight
HyperFast: Instant Classification for Tabular Data
David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto et al.
AAAI 2024paperarXiv:2402.14335
26
citations
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
Jonathan Scott, Aine E Cahill
ICML 2024poster
Kernel-Based Evaluation of Conditional Biological Sequence Models
Pierre Glaser, Steffan Paul, Alissa M. Hummer et al.
ICML 2024poster
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
Shion Takeno, Yu Inatsu, Masayuki Karasuyama et al.
ICML 2024poster
Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
Andries Smit, Nathan Grinsztajn, Paul Duckworth et al.
ICML 2024poster
Tuning-Free Stochastic Optimization
Ahmed Khaled, Chi Jin
ICML 2024spotlight