Special Issue of the ECML PKDD 2020 Journal Track

Articles (13 in this collection)

1. Fast greedy \(\mathcal {C}\)-bound minimization with guarantees

   Authors (first, second and last of 4)

   • Baptiste Bauvin
   • Cécile Capponi
   • François Laviolette

   • Content type: OriginalPaper
   • Open Access
   • Published: 23 September 2020

   • Pages: 1945 - 1986

   

2. High-dimensional Bayesian optimization using low-dimensional feature spaces

   Authors

   • Riccardo Moriconi
   • Marc Peter Deisenroth
   • K. S. Sesh Kumar

   • Content type: OriginalPaper
   • Open Access
   • Published: 21 September 2020

   • Pages: 1925 - 1943

   

3. Introduction to the special issue of the ECML PKDD 2020 journal track

   Authors (first, second and last of 4)

   • Ira Assent
   • Carlotta Domeniconi
   • Eyke Hüllermeier

   • Content type: EditorialNotes
   • Published: 08 September 2020

   • Pages: 1697 - 1698

4. Imbalanced regression and extreme value prediction

   Authors

   • Rita P. Ribeiro
   • Nuno Moniz

   • Content type: OriginalPaper
   • Published: 04 September 2020

   • Pages: 1803 - 1835

   

5. Ada-boundary: accelerating DNN training via adaptive boundary batch selection

   Authors (first, second and last of 4)

   • Hwanjun Song
   • Sundong Kim
   • Jae-Gil Lee

   • Content type: OriginalPaper
   • Published: 04 September 2020

   • Pages: 1837 - 1853

   

6. Skew Gaussian processes for classification

   Authors

   • Alessio Benavoli
   • Dario Azzimonti
   • Dario Piga

   • Content type: OriginalPaper
   • Open Access
   • Published: 04 September 2020

   • Pages: 1877 - 1902

   

7. A decision-theoretic approach for model interpretability in Bayesian framework

   Authors (first, second and last of 5)

   • Homayun Afrabandpey
   • Tomi Peltola
   • Samuel Kaski

   • Content type: OriginalPaper
   • Open Access
   • Published: 04 September 2020

   • Pages: 1855 - 1876

   

8. Weak approximation of transformed stochastic gradient MCMC

   Authors

   • Soma Yokoi
   • Takuma Otsuka
   • Issei Sato

   • Content type: OriginalPaper
   • Published: 04 September 2020

   • Pages: 1903 - 1923

   

9. Learning representations from dendrograms

   Authors

   • Morteza Haghir Chehreghani
   • Mostafa Haghir Chehreghani

   • Content type: OriginalPaper
   • Open Access
   • Published: 16 August 2020

   • Pages: 1779 - 1802

   

10. Using error decay prediction to overcome practical issues of deep active learning for named entity recognition

    Authors (first, second and last of 5)

    • Haw-Shiuan Chang
    • Shankar Vembu
    • Andrew McCallum

    • Content type: OriginalPaper
    • Published: 05 August 2020

    • Pages: 1749 - 1778

    

11. Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication

    Authors

    • Emanuele Pesce
    • Giovanni Montana

    • Content type: OriginalPaper
    • Open Access
    • Published: 23 January 2020

    • Pages: 1727 - 1747

    

12. Combining Bayesian optimization and Lipschitz optimization

    Authors

    • Mohamed Osama Ahmed
    • Sharan Vaswani
    • Mark Schmidt

    • Content type: OriginalPaper
    • Published: 16 September 2020

    • Pages: 79 - 102

    

13. Active deep Q-learning with demonstration

    Authors (first, second and last of 4)

    • Si-An Chen
    • Voot Tangkaratt
    • Masashi Sugiyama

    • Content type: OriginalPaper
    • Published: 08 November 2019

    • Pages: 1699 - 1725