Stefan Falkner
10 papers · 2016–2024 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
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Unstoppable · Bronze
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Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Learning Paradigms · Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Learning Paradigms · Machine Learning
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Keywords
bayesian optimization
(6)
hyperparameter optimization
(5)
meta learning
(2)
model selection
(2)
generative model
(2)
gaussian process
(2)
variational autoencoder
(2)
deterministic autoencoder
(2)
few-shot learning
(1)
neural network training
(1)
sequence generation
(1)
uncertainty quantification
(1)
neural architecture
(1)
transfer learning
(1)
variational inference
(1)
adversarial robustness
(1)
adversarial attack
(1)
hamiltonian monte carlo
(1)
support vector machine
(1)
image generation
(1)
Papers
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
ICML 2024
Scalable Meta-Learning with Gaussian Processes
AISTATS 2024
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
JMLR 2022
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders
NeurIPS 2022
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
NeurIPS 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
NeurIPS 2016