Erik Schultheis
Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
E-post
erik.schultheis@aalto.fi
Telefonnummer
+358503281199
Utmärkelser
NeurIPS 2021 Outstanding Reviewer Award
Award or honor granted for a specific work
School common, SCI
Oct 2021
Forskningsgrupp
- Professorship Marttinen P., Doctoral Researcher
- Professorship Babbar Rohit, Visitor (Faculty)
- Professorship Marttinen P., Visitor (Faculty)
Publikationer
Addressing statistical and computational challenges in extreme multilabel classification with unbiased estimators, macroaveraged metrics, and hardwareaware implementations
Erik Schultheis
2025
How Well Calibrated are Extreme Multi-label Classifiers? An Empirical Analysis
Nasib Ullah, Erik Schultheis, Jinbin Zhang, Rohit Babbar
2025
KDD 2025 : Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Navigating Extremes: Dynamic Sparsity in Large Output Spaces
Nasib Ullah, Erik Schultheis, Mike Lasby, Yani Ioannou, Rohit Babbar
2025
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
Jinbin Zhang, Nasib Ullah, Erik Schultheis, Rohit Babbar
2025
Proceedings of Machine Learning Research
Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features
Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho Jui Hsieh, Rohit Babbar
2024
KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
A General Online Algorithm for Optimizing Complex Performance Metrics
Wojciech Kotłowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczyński
2024
Proceedings of Machine Learning Research
Consistent algorithms for multi-label classification with macro-at-k metrics
Erik Schultheis, Wojciech Kotłowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczyński
2024
12th International Conference on Learning Representations (ICLR 2024)
Generalized test utilities for long-tail performance in extreme multi-label classification
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski
2024
Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023
LLaMA-Annotate—Visualizing Token-Level Confidences for LLMs
Erik Schultheis, S. T. John
2024
Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Proceedings
Extreme Multicore Classification
Erik Schultheis, Rohit Babbar
2023
Machine Learning under Resource Constraints