Marek Wydmuch

Orcid: 0000-0002-6598-6304

According to our database1, Marek Wydmuch authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Consistent algorithms for multi-label classification with macro-at-k metrics.
CoRR, 2024

2023
Generalized test utilities for long-tail performance in extreme multi-label classification.
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.
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.
Data Min. Knowl. Discov., 2021

Propensity-scored Probabilistic Label Trees.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Online probabilistic label trees.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Probabilistic Label Trees for Extreme Multi-label Classification.
CoRR, 2020

2019
ViZDoom Competitions: Playing Doom From Pixels.
IEEE Trans. Games, 2019

Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification.
CoRR, 2019

Set-Valued Prediction in Multi-Class Classification.
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.
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.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016


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