Josif Grabocka
15 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34) 👑 Triple Crown
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Keyword Collector
(57)
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Century Club · Bronze
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Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(9)
Deep Learning
(8)
Artificial Intelligence
(5)
Learning Types · Machine Learning
(5)
Application Areas
(4)
Architectures
(3)
Core Methods
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Paradigms · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Reinforcement Learning
(2)
Bayesian & Probabilistic
(2)
Methods
(2)
Mathematics & Optimization
(1)
Keywords
hyperparameter optimization
(8)
bayesian optimization
(5)
gaussian process
(5)
neural network
(3)
transfer learning
(2)
neural architecture search
(2)
pre-trained model
(2)
learning curve
(2)
tabular data
(2)
bayesian inference
(1)
model interpretability
(1)
feature learning
(1)
learning to rank
(1)
prior distribution
(1)
in-context learning
(1)
model selection
(1)
multi-objective optimization
(1)
online reinforcement learning
(1)
diversity regularization
(1)
uncertainty quantification
(1)
Papers
Efficient Cross-Episode Meta-RL
ICLR 2025
Multi-objective Differentiable Neural Architecture Search
ICLR 2025
Regularized Neural Ensemblers
AutoML 2025
HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning
AutoML 2024
Interpretable Mesomorphic Networks for Tabular Data
NeurIPS 2024
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
ICLR 2024
Deep Ranking Ensembles for Hyperparameter Optimization
ICLR 2023
Gray-Box Gaussian Processes for Automated Reinforcement Learning
ICLR 2023
Scaling Laws for Hyperparameter Optimization
NeurIPS 2023
Transfer NAS with Meta-learned Bayesian Surrogates
ICLR 2023
Supervising the Multi-Fidelity Race of Hyperparameter Configurations
NeurIPS 2022
Transformers Can Do Bayesian Inference
ICLR 2022
Zero-shot AutoML with Pretrained Models
ICML 2022
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
ICLR 2021
Well-tuned Simple Nets Excel on Tabular Datasets
NeurIPS 2021