Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Online learning algorithms for complex prediction problems

2016/22/E/ST6/00299

Keywords:

machine learning online learning learning theory

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_4: Formal methods, foundations of computer science, including theoretical computer science, quantum algorithms

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Wojciech Kotłowski 

Number of co-investigators in the project: 3

Call: SONATA BIS 6 - announced on 2016-06-15

Amount awarded: 804 700 PLN

Project start date (Y-m-d): 2017-04-13

Project end date (Y-m-d): 2023-01-12

Project duration:: 69 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (4)
  • Articles in post-conference publications (13)
  1. On minimaxity of follow the leader strategy in the stochastic setting
    Authors:
    Wojciech Kotłowski
    Academic press:
    Theoretical Computer Science (rok: 2018, tom: 742, strony: 50-65), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.tcs.2017.12.030 - link to the publication
  2. ViZDoom Competitions: Playing Doom from Pixels
    Authors:
    Marek Wydmuch, Michał Kempka, Wojciech Jaśkowski
    Academic press:
    IEEE Transactions on Games (poprzednio: IEEE Transactions on Computational Intelligence and AI in Games) (rok: 2019, tom: 11, strony: 248-259), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TG.2018.2877047 - link to the publication
  3. Scale-invariant unconstrained online learning
    Authors:
    Wojciech Kotłowski
    Academic press:
    Theoretical Computer Science (rok: 2020, tom: 808, strony: 139-158), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.tcs.2019.11.016 - link to the publication
  4. What makes multi-class imbalanced problems difficult? An experimental study
    Authors:
    Mateusz Lango, Jerzy Stefanowski
    Academic press:
    Expert Systems With Applications (rok: 2022, tom: 199, strony: 116962), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2022.116962 - link to the publication
  1. Adaptive scale-invariant online algorithms for learning linear models
    Authors:
    Michał Kempka, Wojciech Kotłowski, Manfred K. Warmuth
    Conference:
    36th International Conference on Machine Learning (ICML) (rok: 2019, ), Wydawca: JMLR.org
    Data:
    konferencja 43625
    Status:
    Published
  2. Learning to crawl
    Authors:
    Utkarsh Upadhyay, Robert Busa-Fekete, Wojciech Kotłowski, David Pal, Balazs Szorenyi
    Conference:
    Thirty-Fourth AAAI Conference on Artificial Intelligence AAAI 2020 (rok: 2020, ), Wydawca: AAAI Press
    Data:
    konferencja 7-12.02.2020
    Status:
    Published
  3. Open Problem: Fast and Optimal Online Portfolio Selection
    Authors:
    Tim van Erven, Dirk van der Hoeven, Wojciech Kotłowski, Wouter M. Koolen
    Conference:
    The 33rd Annual Conference on Learning Theory (COLT 2020) (rok: 2020, ), Wydawca: PMLR
    Data:
    konferencja 9-12.07.2020
    Status:
    Published
  4. Robust Online Convex Optimization in the Presence of Outliers
    Authors:
    Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski
    Conference:
    The 34th Annual Conference on Learning Theory (COLT 2021) (rok: 2021, ), Wydawca: PMLR
    Data:
    konferencja 15-19.08.2021
    Status:
    Published
  5. Bandit Principal Component Analysis
    Authors:
    Wojciech Kotłowski, Gergely Neu
    Conference:
    Thirty-Second Conference on Learning Theory (COLT) (rok: 2019, ), Wydawca: JMLR.org
    Data:
    konferencja 43641
    Status:
    Published
  6. Online Principal Component Analysis for Evolving Data Streams
    Authors:
    Monika Grabowska, Wojciech Kotłowski
    Conference:
    International Symposium on Computer and Information Sciences (ISCIS 2018) (rok: 2018, ), Wydawca: Springer
    Data:
    konferencja 20-21.09.2018
    Status:
    Published
  7. Scale-Invariant Unconstrained Online Learning
    Authors:
    Wojciech Kotłowski
    Conference:
    The 28th International Conference on Algorithmic Learning Theory (ALT 2017) (rok: 2017, ), Wydawca: PMLR
    Data:
    konferencja 15-17.10.2017
    Status:
    Published
  8. A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer
    Authors:
    Manfred K. Warmuth, Wojciech Kotlowski, Ehsan Amid
    Conference:
    The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) (rok: 2021, ), Wydawca: PMLR
    Data:
    konferencja 16-19.03.2021
    Status:
    Published
  9. Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks
    Authors:
    Adam Wojciechowski, Mateusz Lango
    Conference:
    4th International Workshop on Learning with Imbalanced Domains co-located with ECML/PKDD (rok: 2022, ), Wydawca: JMLR.org
    Data:
    konferencja 19-23.09.2022
    Status:
    Published
  10. The Many Faces of Exponential Weights in Online Learning
    Authors:
    Dirk van der Hoeven, Tim van Erven, Wojciech Kotłowski
    Conference:
    The 31st Annual Conference on Learning Theory (COLT 2018) (rok: 2018, ), Wydawca: PMLR
    Data:
    konferencja 5-9.07.2018
    Status:
    Published
  11. Time aspect in making an actionable prediction of a conversation breakdown
    Authors:
    Janiszewski P., Lango M., Stefanowski J.
    Conference:
    The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD, 2021) (rok: 2021, ), Wydawca: Springer-Verlag
    Data:
    konferencja 13-17.09.2021
    Status:
    Published
  12. Prototypical Convolutional Neural Network for a phrase-based explanation of sentiment classification
    Authors:
    Kamil Pluciński, Mateusz Lango, Jerzy Stefanowski
    Conference:
    ECML PKDD International Workshop and Tutorial on eXplainable Knowledge Discovery in Data Mining (XKDD) (rok: 2021, ), Wydawca: Springer-Verlag
    Data:
    konferencja 13-17.09.2021
    Status:
    Published
  13. Random Permutation Online Isotonic Regression
    Authors:
    Kotłowski, W., Koolen, W., Malek, A.
    Conference:
    Advances in Neural Information Processing Systems 30 (NIPS 2017) (rok: 2017, ), Wydawca: Curran Associates, Inc.Curr
    Data:
    konferencja 4-9.12.2017
    Status:
    Published