Poster "hyperparameter tuning" Papers
13 papers found
Conference
AutoEdit: Automatic Hyperparameter Tuning for Image Editing
Chau Pham, Quan Dao, Mahesh Bhosale et al.
NEURIPS 2025arXiv:2509.15031
1
citations
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
Lequan Lin, Dai Shi, Andi Han et al.
ICLR 2025arXiv:2410.05697
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
Simin Li, Zihao Mao, Hanxiao Li et al.
NEURIPS 2025arXiv:2510.11824
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
Pai Liu, Lingfeng Zhao, Shivangi Agarwal et al.
NEURIPS 2025arXiv:2502.08021
4
citations
Power Lines: Scaling laws for weight decay and batch size in LLM pre-training
Shane Bergsma, Nolan Dey, Gurpreet Gosal et al.
NEURIPS 2025arXiv:2505.13738
17
citations
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
NEURIPS 2025arXiv:2510.24288
Towards General-Purpose Model-Free Reinforcement Learning
Scott Fujimoto, Pierluca D'Oro, Amy Zhang et al.
ICLR 2025arXiv:2501.16142
24
citations
Towards hyperparameter-free optimization with differential privacy
Ruixuan Liu, Zhiqi Bu
ICLR 2025arXiv:2503.00703
7
citations
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
Jonathan Scott, Aine E Cahill
ICML 2024arXiv:2406.02416
1
citations
Kernel-Based Evaluation of Conditional Biological Sequence Models
Pierre Glaser, Steffan Paul, Alissa M. Hummer et al.
ICML 2024arXiv:2510.15601
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
Shion Takeno, Yu Inatsu, Masayuki Karasuyama et al.
ICML 2024arXiv:2311.03760
9
citations
Reinforcement Learning Meets Visual Odometry
Nico Messikommer, Giovanni Cioffi, Mathias Gehrig et al.
ECCV 2024arXiv:2407.15626
14
citations
Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
Andries Smit, Nathan Grinsztajn, Paul Duckworth et al.
ICML 2024arXiv:2311.17371
64
citations