conftrace_

algorithm selection

38 papers

Explore in graph

Also known as

AS

Co-occurring keywords

hyperparameter optimization (406) multi-armed bandit (1098) combinatorial optimization (1039) automated machine learning (94) runtime prediction (6) bayesian optimization (624) hyperparameter tuning (215) automatic machine learning (10) clustering algorithm (206) least square (101)

Papers

Next Generation of Empirical Performance Prediction AAAI 2026
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms AAAI 2025
Algorithm Selection for Word-Level Hardware Model Checking (Student Abstract) AAAI 2025
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications EMNLP 2025
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NIPS 2024
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation IJCAI 2024
Algorithm Selection for Deep Active Learning with Imbalanced Datasets NIPS 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NIPS 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
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization AAAI 2022
sunny-as2: Enhancing SUNNY for Algorithm Selection (Extended Abstract) IJCAI 2022
On the Generalizability and Predictability of Recommender Systems NIPS 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data NIPS 2022
Machine Learning for Online Algorithm Selection under Censored Feedback AAAI 2022
Dual Active Learning for Both Model and Data Selection IJCAI 2021
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021
Generalization in Portfolio-Based Algorithm Selection AAAI 2021
Corralling Stochastic Bandit Algorithms AISTATS 2021
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis ACML 2020
Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract) AAAI 2020
A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection ACML 2020
Efficient Automatic CASH via Rising Bandits AAAI 2020
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit IJCAI 2019