Co-occurring keywords · papers mentioning both
Papers
Next Generation of Empirical Performance Prediction
AAAI 2026
Algorithm Selection for Word-Level Hardware Model Checking (Student Abstract)
AAAI 2025
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms
AAAI 2025
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications
EMNLP 2025
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
ICML 2025
Revisiting Learning Rate Control
AutoML 2025
Towards Robustness and Explainability of Automatic Algorithm Selection
ICML 2025
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
IJCAI 2024
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
NeurIPS 2024
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
NeurIPS 2023
FLASH: Automating federated learning using CASH
UAI 2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
AutoML 2023
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
AutoML 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
NeurIPS 2023
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
AAAI 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
NeurIPS 2022
Generalization Bounds for Data-Driven Numerical Linear Algebra
COLT 2022
Machine Learning for Online Algorithm Selection under Censored Feedback
AAAI 2022
On the Generalizability and Predictability of Recommender Systems
NeurIPS 2022
sunny-as2: Enhancing SUNNY for Algorithm Selection (Extended Abstract)
IJCAI 2022
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
AAAI 2021
Corralling Stochastic Bandit Algorithms
AISTATS 2021
Dual Active Learning for Both Model and Data Selection
IJCAI 2021
Generalization in Portfolio-Based Algorithm Selection
AAAI 2021
A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection
ACML 2020