Josif Grabocka
15 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird π Conference Polyglot (4) π Cross-Pollinator (5)
πΊοΈ
Taxonomy Completionist
(18)
π
Triple Crown
π
Century Club
(15)
π₯
Unstoppable
(5)
Conferences
ICLR (8)
NIPS (4)
AUTOML (2)
ICML (1)
Top co-authors
Keywords
hyperparameter optimization
(4)
neural network
(3)
bayesian optimization
(2)
learning curve
(2)
tabular datum
(2)
interpretable model
(1)
model explanation
(1)
multilayer perceptron
(1)
interpretable neural network
(1)
pretrained model
(1)
linear model
(1)
multi-fidelity optimization
(1)
automated machine learning
(1)
explainable model
(1)
gradient boosted decision tree
(1)
power law
(1)
zero-shot learning
(1)
gradient-boosted decision tree
(1)
feature learning
(1)
transfer learning
(1)
Papers
Efficient Cross-Episode Meta-RL
ICLR 2025
Multi-objective Differentiable Neural Architecture Search
ICLR 2025
Regularized Neural Ensemblers
AUTOML 2025
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
ICLR 2024
Interpretable Mesomorphic Networks for Tabular Data
NIPS 2024
HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning
AUTOML 2024
Deep Ranking Ensembles for Hyperparameter Optimization
ICLR 2023
Scaling Laws for Hyperparameter Optimization
NIPS 2023
Gray-Box Gaussian Processes for Automated Reinforcement Learning
ICLR 2023
Transfer NAS with Meta-learned Bayesian Surrogates
ICLR 2023
Zero-shot AutoML with Pretrained Models
ICML 2022
Supervising the Multi-Fidelity Race of Hyperparameter Configurations
NIPS 2022
Transformers Can Do Bayesian Inference
ICLR 2022
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
ICLR 2021
Well-tuned Simple Nets Excel on Tabular Datasets
NIPS 2021