1. Imbalanced gradients: a subtle cause of overestimated adversarial robustness

   • Xingjun Ma
   • Linxi Jiang
   • Yu-Gang Jiang

   OriginalPaper 30 March 2023 Pages: 2301 - 2326

   

2. Re-attentive experience replay in off-policy reinforcement learning

   • Wei Wei
   • Da Wang
   • Jiye Liang

   OriginalPaper 22 February 2024 Pages: 2327 - 2349

   

3. Training data influence analysis and estimation: a survey

   • Zayd Hammoudeh
   • Daniel Lowd

   OriginalPaper Open access 29 March 2024 Pages: 2351 - 2403

   

4. On the incompatibility of accuracy and equal opportunity

   • Carlos Pinzón
   • Catuscia Palamidessi
   • Frank Valencia

   OriginalPaper 02 May 2023 Pages: 2405 - 2434

   

5. Goal-conditioned offline reinforcement learning through state space partitioning

   • Mianchu Wang
   • Yue Jin
   • Giovanni Montana

   OriginalPaper Open access 05 February 2024 Pages: 2435 - 2465

   

6. Bounding the Rademacher complexity of Fourier neural operators

   • Taeyoung Kim
   • Myungjoo Kang

   OriginalPaper Open access 26 March 2024 Pages: 2467 - 2498

   

7. UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks

   • Mahum Naseer
   • Bharath Srinivas Prabakaran
   • Muhammad Shafique

   OriginalPaper Open access 01 March 2023 Pages: 2499 - 2526

   

8. Goal exploration augmentation via pre-trained skills for sparse-reward long-horizon goal-conditioned reinforcement learning

   • Lisheng Wu
   • Ke Chen

   OriginalPaper Open access 05 February 2024 Pages: 2527 - 2557

   

9. Learning to bid and rank together in recommendation systems

   • Geng Ji
   • Wentao Jiang
   • Zheqing Zhu

   OriginalPaper Open access 29 November 2023 Pages: 2559 - 2573

   

10. Tackle balancing constraints in semi-supervised ordinal regression

    • Chenkang Zhang
    • Heng Huang
    • Bin Gu

    OriginalPaper 04 March 2024 Pages: 2575 - 2595

    

11. Neural network relief: a pruning algorithm based on neural activity

    • Aleksandr Dekhovich
    • David M. J. Tax
    • Miguel A. Bessa

    OriginalPaper 05 March 2024 Pages: 2597 - 2618

    

12. Connecting weighted automata, tensor networks and recurrent neural networks through spectral learning

    • Tianyu Li
    • Doina Precup
    • Guillaume Rabusseau

    OriginalPaper 30 March 2022 Pages: 2619 - 2653

    

13. Deep reinforcement learning for multi-class imbalanced training: applications in healthcare

    • Jenny Yang
    • Rasheed El-Bouri
    • David A. Clifton

    OriginalPaper Open access 28 November 2023 Pages: 2655 - 2674

    

14. Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning

    • Ramij Raja Hossain
    • Tianzhixi Yin
    • Qiuhua Huang

    OriginalPaper 06 November 2023 Pages: 2675 - 2700

    

15. Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization

    • Antonio Candelieri
    • Andrea Ponti
    • Francesco Archetti

    OriginalPaper Open access 28 February 2024 Pages: 2701 - 2731

    

16. Optimal clustering from noisy binary feedback

    • Kaito Ariu
    • Jungseul Ok
    • Seyoung Yun

    OriginalPaper Open access 22 March 2024 Pages: 2733 - 2764

    

17. When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days

    • Feliu Serra-Burriel
    • Pedro Delicado
    • Imanol Eguskiza

    OriginalPaper Open access 26 March 2024 Pages: 2765 - 2794

    

18. Dynamic datasets and market environments for financial reinforcement learning

    • Xiao-Yang Liu
    • Ziyi Xia
    • Jian Guo

    OriginalPaper 26 February 2024 Pages: 2795 - 2839

    

19. Incremental learning of iterated dependencies

    • Denis Béchet
    • Annie Foret

    OriginalPaper 07 March 2021 Pages: 2841 - 2875

    

20. Extracting automata from recurrent neural networks using queries and counterexamples (extended version)

    • Gail Weiss
    • Yoav Goldberg
    • Eran Yahav

    OriginalPaper 08 June 2022 Pages: 2877 - 2919

    

21. Dealing with the unevenness: deeper insights in graph-based attack and defense

    • Haoxi Zhan
    • Xiaobing Pei

    OriginalPaper 07 October 2022 Pages: 2921 - 2953

    

22. Federated learning with superquantile aggregation for heterogeneous data

    • Krishna Pillutla
    • Yassine Laguel
    • Zaid Harchaoui

    OriginalPaper 16 May 2023 Pages: 2955 - 3022

    

23. Reinforcement learning tutor better supported lower performers in a math task

    • Sherry Ruan
    • Allen Nie
    • Emma Brunskill

    OriginalPaper Open access 09 February 2024 Pages: 3023 - 3048

    

24. Personalization for web-based services using offline reinforcement learning

    • Pavlos Athanasios Apostolopoulos
    • Zehui Wang
    • Igor L. Markov

    OriginalPaper 28 March 2024 Pages: 3049 - 3071

    

25. Machine learning with a reject option: a survey

    • Kilian Hendrickx
    • Lorenzo Perini
    • Jesse Davis

    OriginalPaper 29 March 2024 Pages: 3073 - 3110

    

26. PreCoF: counterfactual explanations for fairness

    • Sofie Goethals
    • David Martens
    • Toon Calders

    OriginalPaper 28 March 2023 Pages: 3111 - 3142

    

27. LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations

    • Weronika Hryniewska
    • Adrianna Grudzień
    • Przemysław Biecek

    OriginalPaper Open access 14 July 2022 Pages: 3143 - 3160

    

28. Wasserstein dropout

    • Joachim Sicking
    • Maram Akila
    • Asja Fischer

    OriginalPaper Open access 08 September 2022 Pages: 3161 - 3204

    

29. Fairness seen as global sensitivity analysis

    • Clément Bénesse
    • Fabrice Gamboa
    • Thibaut Boissin

    OriginalPaper 24 June 2022 Pages: 3205 - 3232

    

30. Distillation of weighted automata from recurrent neural networks using a spectral approach

    • Rémi Eyraud
    • Stéphane Ayache

    OriginalPaper 19 April 2021 Pages: 3233 - 3266

    

31. Learning (k,l)-context-sensitive probabilistic grammars with nonparametric Bayesian approach

    • Chihiro Shibata

    OriginalPaper 16 July 2021 Pages: 3267 - 3301

    

32. Correction: Adversarial concept drift detection under poisoning attacks for robust data stream mining

    • Łukasz Korycki
    • Bartosz Krawczyk

    Correction 02 April 2024 Pages: 3303 - 3304

33. Fair tree classifier using strong demographic parity

    • António Pereira Barata
    • Frank W. Takes
    • Cor J. Veenman

    OriginalPaper Open access 24 August 2023 Pages: 3305 - 3324

    

34. Gradient boosted trees for evolving data streams

    • Nuwan Gunasekara
    • Bernhard Pfahringer
    • Albert Bifet

    OriginalPaper Open access 22 March 2024 Pages: 3325 - 3352

    

35. Correction to: A neural meta-model for predicting winter wheat crop yield

    • Yogesh Bansal
    • David Lillis
    • M.-Tahar Kechadi

    Correction 15 March 2024 Pages: 3353 - 3353

36. Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads

    • Vincent Mai
    • Philippe Maisonneuve
    • Antoine Lesage-Landry

    Correction 23 February 2024 Pages: 3355 - 3355