Lars Kotthoff
7 papers · 2016–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (22) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4)
π
Academic Marathon
(8)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(5)
π±
Topic Pioneer
π
Trend Setter
Conferences
JMLR (3)
AAAI (2)
AUTOML (1)
IJCAI (1)
Top co-authors
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