Hyperparameter Optimization
99 papers
Papers per year
3
1
1
1
1
2
1
1
7
11
12
16
10
13
2
13
4
'20
'25
Papers
Efficient Hyperparameter Optimization for LLM Reinforcement Learning
ACL 2026
GR-Gauge: Cost-efficient Training Configuration By Gauging the Gradient Redundancy
CVPR 2026
Invited Open Problem: Online Optimization of Piecewise-Lipschitz Functions with Applications to Data-Driven Algorithm Design
COLT 2026
Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup–Stable–Decay (Extended Abstract)
COLT 2026
Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning
ICLR 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
AAAI 2025
A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs
UAI 2025
AutoIntent: AutoML for Text Classification
EMNLP 2025
Call for Rigor in Reporting Quality of Instruction Tuning Data
ACL 2025
DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
L4DC 2025
FedPop: Federated Population-based Hyperparameter Tuning
AAAI 2025
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
AAAI 2025
IIITH-BUT system for IWSLT 2025 low-resource Bhojpuri to Hindi speech translation
ACL 2025
Modeling All Response Surfaces in One for Conditional Search Spaces
AAAI 2025
o-MEGA: Optimized Methods for Explanation Generation and Analysis
EMNLP 2025
Scalable Acceleration for Classification-Based Derivative-Free Optimization
AAAI 2025
Utilitarian Algorithm Configuration for Infinite Parameter Spaces
ICLR 2025
Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
CVPR 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
NeurIPS 2024
A Hyperparameter Optimization Toolkit for Neural Machine Translation Research
ACL 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
NeurIPS 2023
Code-Aware Cross-Program Transfer Hyperparameter Optimization
AAAI 2023
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization
NeurIPS 2023
Gray-Box Gaussian Processes for Automated Reinforcement Learning
ICLR 2023
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search
CVPR 2023