List of works - Frank Hutter

A new algorithm for RNA secondary structure design

scientific article

AClib: A Benchmark Library for Algorithm Configuration

AI for social good: unlocking the opportunity for positive impact

scientific article published on 18 May 2020

ASlib: A benchmark library for algorithm selection

Algorithm Configuration in the Cloud: A Feasibility Study

Algorithm runtime prediction: Methods & evaluation

An evaluation of sequential model-based optimization for expensive blackbox functions

An experimental investigation of model-based parameter optimisation

Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms

scholarly article by Chris Thornton et al published 2013 in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Automated Configuration of Mixed Integer Programming Solvers

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems

scientific article published on 03 June 2022

Bayesian Optimization in a Billion Dimensions via Random Embeddings

Bayesian Optimization with Robust Bayesian Neural Networks ⬇️

scientific article published in January 2016

Deep learning with convolutional neural networks for EEG decoding and visualization

scientific article published on 07 August 2017

Efficient and Robust Automated Machine Learning ⬇️

scientific article (publication date: 2015)

Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors

article published in 2012

Evolutionary computation for wind farm layout optimization

Identifying Key Algorithm Parameters and Instance Features Using Forward Selection

article by Frank Hutter et al published 2013 in Lecture Notes in Computer Science

Machine-Learning-Based Diagnostics of EEG Pathology

scientific article published on 10 June 2020

Maximizing acquisition functions for Bayesian optimization ⬇️

Meta-Surrogate Benchmarking for Hyperparameter Optimization ⬇️

Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms

scholarly article by Frank Hutter et al published 2006 in Lecture Notes in Computer Science

List of works by Frank Hutter

A new algorithm for RNA secondary structure design

AClib: A Benchmark Library for Algorithm Configuration

AI for social good: unlocking the opportunity for positive impact

ASlib: A benchmark library for algorithm selection

Algorithm Configuration in the Cloud: A Feasibility Study

Algorithm runtime prediction: Methods & evaluation

An evaluation of sequential model-based optimization for expensive blackbox functions

An experimental investigation of model-based parameter optimisation

Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms

Automated Configuration of Mixed Integer Programming Solvers

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems

Bayesian Optimization in a Billion Dimensions via Random Embeddings

Bayesian Optimization with Robust Bayesian Neural Networks ⬇️

Deep learning with convolutional neural networks for EEG decoding and visualization

Efficient and Robust Automated Machine Learning ⬇️

Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors

Evolutionary computation for wind farm layout optimization

Identifying Key Algorithm Parameters and Instance Features Using Forward Selection

Machine-Learning-Based Diagnostics of EEG Pathology

Maximizing acquisition functions for Bayesian optimization ⬇️

Meta-Surrogate Benchmarking for Hyperparameter Optimization ⬇️

Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms

Reports on the 2015 AAAI Workshop Program ⬇️

SATzilla-07: The Design and Analysis of an Algorithm Portfolio for SAT

Sequential Model-Based Optimization for General Algorithm Configuration

Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second ⬇️

The Configurable SAT Solver Challenge (CSSC)

The locality dilemma of Sankoff-like RNA alignments

Time-Bounded Sequential Parameter Optimization

Tradeoffs in the empirical evaluation of competing algorithm designs

Understanding the empirical hardness ofNP-complete problems

Well-tuned Simple Nets Excel on Tabular Datasets ⬇️