Stefan Falkner
10 papers · 2016–2024 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Cross-Pollinator (14) π Interdisciplinary Bridge π Conference Polyglot (5)
π
Academic Marathon
(8)
π£
Hot Topic Early Bird
π
Century Club
(10)
π₯
Unstoppable
(7)
Conferences
NIPS (3)
AISTATS (2)
ICLR (2)
ICML (2)
JMLR (1)
Top co-authors
Keywords
bayesian optimization
(4)
hyperparameter optimization
(4)
model selection
(2)
deterministic autoencoder
(2)
generative model
(2)
variational autoencoder
(2)
uncertainty quantification
(1)
gaussian process
(1)
hamiltonian monte carlo
(1)
adversarial attack
(1)
support vector machine
(1)
gaussian mixture model
(1)
latent representation
(1)
deep neural network
(1)
bayesian neural network
(1)
training time
(1)
multi-task kernel
(1)
hierarchical training
(1)
automated machine learning
(1)
multi-task optimization
(1)
Papers
Scalable Meta-Learning with Gaussian Processes
AISTATS 2024
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
ICML 2024
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders
NIPS 2022
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
JMLR 2022
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
NIPS 2021
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
ICLR 2020
Learning to Design RNA
ICLR 2019
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
ICML 2018
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
AISTATS 2017
Bayesian Optimization with Robust Bayesian Neural Networks
NIPS 2016