Skip to content
conftrace_

Hyperparameter Optimization

99 papers

12
13
'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