Grabocka, Josif

29 publications

ICLR 2025 Efficient Cross-Episode Meta-RL Gresa Shala, André Biedenkapp, Pierre Krack, Florian Walter, Josif Grabocka
ICLR 2025 Multi-Objective Differentiable Neural Architecture Search Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter
AutoML 2025 Regularized Neural Ensemblers Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka
NeurIPSW 2024 Ensembling Finetuned Language Models for Text Classification Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka
AutoML 2024 HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning Gresa Shala, Sebastian Pineda Arango, André Biedenkapp, Frank Hutter, Josif Grabocka
NeurIPS 2024 Interpretable Mesomorphic Networks for Tabular Data Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka
NeurIPSW 2024 Lightweight Correlation-Aware Table Compression Mihail Stoian, Alexander van Renen, Jan Kobiolka, Ping-Lin Kuo, Josif Grabocka, Andreas Kipf
ICMLW 2024 Multi-Objective Differentiable Neural Architecture Search Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter
ICLR 2024 Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka
NeurIPSW 2024 Warmstarting for Scaling Language Models Neeratyoy Mallik, Maciej Janowski, Johannes Hog, Herilalaina Rakotoarison, Aaron Klein, Josif Grabocka, Frank Hutter
ICLR 2023 Deep Ranking Ensembles for Hyperparameter Optimization Abdus Salam Khazi, Sebastian Pineda Arango, Josif Grabocka
ICLR 2023 Gray-Box Gaussian Processes for Automated Reinforcement Learning Gresa Shala, André Biedenkapp, Frank Hutter, Josif Grabocka
NeurIPS 2023 Scaling Laws for Hyperparameter Optimization Arlind Kadra, Maciej Janowski, Martin Wistuba, Josif Grabocka
ICLR 2023 Transfer NAS with Meta-Learned Bayesian Surrogates Gresa Shala, Thomas Elsken, Frank Hutter, Josif Grabocka
NeurIPSW 2022 AutoRL-Bench 1.0 Gresa Shala, Sebastian Pineda Arango, André Biedenkapp, Frank Hutter, Josif Grabocka
NeurIPSW 2022 Bayesian Optimization with a Neural Network Meta-Learned on Synthetic Data Only Samuel Müller, Sebastian Pineda Arango, Matthias Feurer, Josif Grabocka, Frank Hutter
NeurIPSW 2022 Gray-Box Gaussian Processes for Automated Reinforcement Learning Gresa Shala, André Biedenkapp, Frank Hutter, Josif Grabocka
NeurIPS 2022 Supervising the Multi-Fidelity Race of Hyperparameter Configurations Martin Wistuba, Arlind Kadra, Josif Grabocka
NeurIPSW 2022 Transfer NAS with Meta-Learned Bayesian Surrogates Gresa Shala, Thomas Elsken, Frank Hutter, Josif Grabocka
ICLR 2022 Transformers Can Do Bayesian Inference Samuel Müller, Noah Hollmann, Sebastian Pineda Arango, Josif Grabocka, Frank Hutter
ICML 2022 Zero-Shot AutoML with Pretrained Models Ekrem Öztürk, Fabio Ferreira, Hadi Jomaa, Lars Schmidt-Thieme, Josif Grabocka, Frank Hutter
ICLR 2021 Few-Shot Bayesian Optimization with Deep Kernel Surrogates Martin Wistuba, Josif Grabocka
ECML-PKDD 2021 Multi-Task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets Shayan Jawed, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka
NeurIPSW 2021 Transfer Learning for Bayesian HPO with End-to-End Landmark Meta-Features Hadi Samer Jomaa, Sebastian Pineda Arango, Lars Schmidt-Thieme, Josif Grabocka
NeurIPSW 2021 Transformers Can Do Bayesian-Inference by Meta-Learning on Prior-Data Samuel Müller, Noah Hollmann, Sebastian Pineda Arango, Josif Grabocka, Frank Hutter
NeurIPS 2021 Well-Tuned Simple Nets Excel on Tabular Datasets Arlind Kadra, Marius Lindauer, Frank Hutter, Josif Grabocka
ECML-PKDD 2019 A Deep Multi-Task Approach for Residual Value Forecasting Ahmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches
AAAI 2012 Classification of Sparse Time Series via Supervised Matrix Factorization Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme
ECML-PKDD 2012 Invariant Time-Series Classification Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme