Publications
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Propensity-scored Probabilistic Label Trees
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski
Accepted to SIGIR (Short Papers Track), 2021
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Online probabilistic label trees
Marek Wydmuch, Kalina Jasinska-Kobus, Devanathan Thiruvenkatachari, Krzysztof Dembczynski
PMLR, Volume 130: International Conference on Artificial Intelligence and Statistics, AISTATS, 2021
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Probabilistic Label Trees for Extreme Multi-label Classification
Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczyński
Submitted to JMLR, 2020
You can find the code in the GitHub repository: https://github.com/mwydmuch/napkinXC
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BERT-based similarity learning for product matching
Janusz Tracz, Piotr Wojcik, Kalina Jasinska-Kobus, Riccardo Belluzzo, Robert Mroczkowski, Ireneusz Gawlik
Proceedings of the Workshop on Natural Language Processing in E-Commerce (EComNLP), 2020
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Online probabilistic label trees
Kalina Jasinska-Kobus, Marek Wydmuch, Devanathan Thiruvenkatachari, Krzysztof Dembczynski
Extreme Classification Workshop at ICML, 2020
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On the computational complexity of the probabilistic label tree algorithms
Robert Busa-Fekete, Krzysztof Dembczyński, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu
arxiv, 2019
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A no-regret generalization of hierarchical softmax to extreme multi-label classification
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Robert Busa-Fekete, Krzysztof Dembczyński
Neural Information Processing Systems, 2018
You can find the code in the GitHub repository: https://github.com/mwydmuch/extremeText
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Extreme F-measure Maximization using Sparse Probability Estimates
Kalina Jasinska, Krzysztof Dembczynski, Robert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hullermeier
Proceedings of The 33rd International Conference on Machine Learning, 2016
You can find the code in the GitHub repository: https://github.com/busarobi/XMLC
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Log-time and Log-space Extreme Classification
Kalina Jasinska, Nikos Karampatziakis
The NIPS Workshop on Multi-class and Multi-label Learning in Extremely Large Label Spaces, 2016
You can find the code in the GitHub repository: https://github.com/kjasinska/ltls
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Extreme classification under limited space and time budget
Kalina Jasinska, Krzysztof Dembczynski, Nikos Karampatziakis
Schedae Informaticae - Theoretical Foundations of Machine Learning Conference, Krakow, 2016
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Efficient exact batch prediction for label trees
Kalina Jasinska
Extreme Multilabel Classification for Social Media at The Web Conference, Lyon 2018
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Bayes optimal prediction for NDCG@k in extreme multi-label classification
Kalina Jasinska, Krzysztof Dembczynski
DA2PL From Multiple Criteria Decision Aid to Preference Learning Workshop , Poznan, 2018
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Consistent Label Tree Classifiers for Extreme Multi-Label Classification
Kalina Jasinska, Krzysztof Dembczynski
Extreme Classification Workshop 2015 at ICML, 2015
Profiles:
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