Poster Schedule

• MetaARIMA: Automatic Configuration of ARIMA using Classifier Chains
• Towards Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization
• Algorithm Configuration for Structured Pfaffian Settings
• Quickly Tuning Foundation Models for Image Segmentation
• A Preliminary Evaluation of Large Language Models for Data Science Code Generation
• Cost-aware Stopping for Bayesian Optimization
• Stitching Disparate Neural Network Layers with Complex Adapters and Spatial Rescaling
• ReLU is all you need for NASWOT
• Successive Halving with Learning Curve Prediction via Latent Kronecker Gaussian Processes
• Improved Gaussian Process Hyperparameter Fitting for Bayesian Optimization
• LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection
• Towards Exploiting Early Termination for Multi-Fidelity Hyperparameter Optimization
• Quantifying Module Interactions in the PSO-X Framework
• Bayesian Optimisation Against Climate Change: Applications and Benchmarks
• Zero-Cost Benchmarks: Towards Lower Reliance on Spearman Rank Correlation
• Cost-aware Bayesian Optimization via the Pandora’s Box Gittins Index
• Stress Testing Classifiers around the Decision Boundary with Latent Diffusion
• The Gittins Index: A Design Principle for Decision-Making Under Uncertainty
• Tune My Adam, Please!
• Multi-objective Hyperparameter Optimization in the Age of Deep Learning
• How Usable is Automated Feature Engineering for Tabular Data?
• Automated Data Preparation for Machine Learning
• Surrogate Benchmarks for Model Merging Optimization
• ParticleML: AutoML Through Electromagnetic Physics Simulation
• Prometheus: A Recursively Self-Improving NAS System
• Data-Efficient Ranking of Recommendation Models
• Object-Flow Machine Learning: Active learning framework utilizing protocols information