Lars Kotthoff
7 papers · 2016–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(7)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Computer Science
(3)
Application Areas
(3)
Core AI
(3)
Learning Types
(3)
Applications
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Core Methods
(1)
Foundations
(1)
Learning Paradigms Β· Machine Learning
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Optimization
(1)
Keywords
hyperparameter optimization
(3)
performance prediction
(2)
model selection
(2)
automated machine learning
(2)
bayesian optimization
(2)
temporal analysis
(1)
algorithm selection
(1)
hyperparameter tuning
(1)
multi-objective optimization
(1)
deep neural network
(1)
cost-aware learning
(1)
algorithmic progress
(1)
shapley value
(1)
pareto optimal
(1)
constraint programming
(1)
machine learning framework
(1)
ensemble construction
(1)
sequential model-based optimization
(1)
algorithm evaluation
(1)
cost-aware optimization
(1)
Papers
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint)
AAAI 2024
Opening the Black Box: Automated Software Analysis for Algorithm Selection
AutoML 2022
mlr3pipelines - Flexible Machine Learning Pipelines in R
JMLR 2021
Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract)
AAAI 2020
Quantifying Algorithmic Improvements over Time
IJCAI 2018
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA
JMLR 2017
mlr: Machine Learning in R
JMLR 2016