Marek Wydmuch

According to our database, Marek Wydmuch authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A General Online Algorithm for Optimizing Complex Performance Metrics.

Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Consistent algorithms for multi-label classification with macro-at-k metrics.

Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Generalized test utilities for long-tail performance in extreme multi-label classification.

Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification.

Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Efficient set-valued prediction in multi-class classification.

Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman

Data Min. Knowl. Discov., 2021

Propensity-scored Probabilistic Label Trees.

Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Online probabilistic label trees.

Marek Wydmuch, Kalina Jasinska-Kobus, Devanathan Thiruvenkatachari, Krzysztof Dembczynski

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Probabilistic Label Trees for Extreme Multi-label Classification.

Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete

CoRR, 2020

2019

ViZDoom Competitions: Playing Doom From Pixels.

Marek Wydmuch, Michal Kempka, Wojciech Jaskowski

IEEE Trans. Games, 2019

Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification.

Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman

CoRR, 2019

Set-Valued Prediction in Multi-Class Classification.

Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

A no-regret generalization of hierarchical softmax to extreme multi-label classification.

Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

ViZDoom: A Doom-based AI research platform for visual reinforcement learning.

Michal Kempka, Marek Wydmuch, Grzegorz Runc, Jakub Toczek, Wojciech Jaskowski

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016