Josif Grabocka
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
13
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EDBT | Virtual: Compressing Data Lake Files. | Mihail Stoian, Alexander van Renen, Jan Kobiolka, Ping-Lin Kuo, Andreas Zimmerer, Josif Grabocka, Andreas Kipf |
| 2025 | ICLR | Efficient Cross-Episode Meta-RL. | Gresa Shala, Andr Biedenkapp, Pierre Krack, Florian Walter, Josif Grabocka |
| 2025 | ICLR | Multi-objective Differentiable Neural Architecture Search. | Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter |
| 2024 | ICLR | Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. | Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka |
| 2023 | ICLR | Deep Ranking Ensembles for Hyperparameter Optimization. | Abdus Salam Khazi, Sebastian Pineda-Arango, Josif Grabocka |
| 2023 | ICLR | Gray-Box Gaussian Processes for Automated Reinforcement Learning. | Gresa Shala, Andr Biedenkapp, Frank Hutter, Josif Grabocka |
| 2023 | ICLR | Transfer NAS with Meta-learned Bayesian Surrogates. | Gresa Shala, Thomas Elsken, Frank Hutter, Josif Grabocka |
| 2023 | KDD | Deep Pipeline Embeddings for AutoML. | Sebastian Pineda-Arango, Josif Grabocka |
| 2022 | ICLR | Transformers Can Do Bayesian Inference. | Samuel Mller, Noah Hollmann, Sebastian Pineda-Arango, Josif Grabocka, Frank Hutter |
| 2022 | ICML | Zero-shot AutoML with Pretrained Models. | Ekrem ztrk, Fabio Ferreira, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka, Frank Hutter |
| 2021 | ICDM | Scalable Pareto Front Approximation for Deep Multi-Objective Learning. | Michael Ruchte, Josif Grabocka |
| 2021 | ICLR | Few-Shot Bayesian Optimization with Deep Kernel Surrogates. | Martin Wistuba, Josif Grabocka |
| 2021 | SIGIR | A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2020 | PAKDD | Self-supervised Learning for Semi-supervised Time Series Classification. | Shayan Jawed, Josif Grabocka, Lars Schmidt-Thieme |
| 2020 | SDM | HIDRA: Head Initialization across Dynamic targets for Robust Architectures. | Rafael Rgo Drumond, Lukas Brinkmeyer, Josif Grabocka, Lars Schmidt-Thieme |
| 2019 | ICAART | Multi-Label Network Classification via Weighted Personalized Factorizations. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2019 | ICAART | Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2019 | IJCNN | A Hybrid Convolutional Approach for Parking Availability Prediction. | Hadi Samer Jomaa, Josif Grabocka, Lars Schmidt-Thieme, Alexander Borek |
| 2019 | KDD | Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2019 | RecSys | Attribute-aware non-linear co-embeddings of graph features. | Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2017 | PAKDD | Personalized Deep Learning for Tag Recommendation. | Hanh T. H. Nguyen, Martin Wistuba, Josif Grabocka, Lucas Rgo Drumond, Lars Schmidt-Thieme |
| 2014 | KDD | Learning time-series shapelets. | Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme |
| 2014 | PAKDD | Supervised Nonlinear Factorizations Excel In Semi-supervised Regression. | Josif Grabocka, Erind Bedalli, Lars Schmidt-Thieme |
| 2013 | DaWaK | Supervised Dimensionality Reduction via Nonlinear Target Estimation. | Josif Grabocka, Lucas Drumond, Lars Schmidt-Thieme |
| 2012 | AAAI | Classification of Sparse Time Series via Supervised Matrix Factorization. | Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme |