1. Information bottleneck and selective noise supervision for zero-shot learning

   • Lei Zhou
   • Yang Liu
   • Edwin Hancock

   OriginalPaper 01 September 2022 Pages: 2239 - 2261

   

2. Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations

   • Ariyan Bighashdel
   • Pavol Jancura
   • Gijs Dubbelman

   OriginalPaper Open access 30 November 2022 Pages: 2263 - 2296

   

3. Autoencoding slow representations for semi-supervised data-efficient regression

   • Oliver Struckmeier
   • Kshitij Tiwari
   • Ville Kyrki

   OriginalPaper Open access 25 January 2023 Pages: 2297 - 2315

   

4. Learning to increase the power of conditional randomization tests

   • Shalev Shaer
   • Yaniv Romano

   OriginalPaper 02 February 2023 Pages: 2317 - 2357

   

5. Diverse and consistent multi-view networks for semi-supervised regression

   • Cuong Nguyen
   • Arun Raja
   • Chuan-Sheng Foo

   OriginalPaper 16 February 2023 Pages: 2359 - 2395

   

6. Unsupervised discretization by two-dimensional MDL-based histogram

   • Lincen Yang
   • Mitra Baratchi
   • Matthijs van Leeuwen

   OriginalPaper Open access 16 February 2023 Pages: 2397 - 2431

   

7. On the sample complexity of actor-critic method for reinforcement learning with function approximation

   • Harshat Kumar
   • Alec Koppel
   • Alejandro Ribeiro

   OriginalPaper 16 February 2023 Pages: 2433 - 2467

   

8. Inverse learning in Hilbert scales

   • Abhishake Rastogi
   • Peter Mathé

   OriginalPaper Open access 22 February 2023 Pages: 2469 - 2499

9. On the Discrepancy between Kleinberg’s Clustering Axioms and k-Means Clustering Algorithm Behavior

   • Mieczysław Alojzy Kłopotek
   • Robert Albert Kłopotek

   OriginalPaper Open access 01 March 2023 Pages: 2501 - 2553

   

10. SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting

    • Rakshitha Godahewa
    • Geoffrey I. Webb
    • Christoph Bergmeir

    OriginalPaper Open access 13 March 2023 Pages: 2555 - 2591

    

11. Inverse reinforcement learning through logic constraint inference

    • Mattijs Baert
    • Sam Leroux
    • Pieter Simoens

    OriginalPaper 14 March 2023 Pages: 2593 - 2618

    

12. Reducing classifier overconfidence against adversaries through graph algorithms

    • Leonardo Teixeira
    • Brian Jalaian
    • Bruno Ribeiro

    OriginalPaper 14 March 2023 Pages: 2619 - 2651

    

13. Pruning during training by network efficacy modeling

    • Mohit Rajpal
    • Yehong Zhang
    • Bryan Kian Hsiang Low

    OriginalPaper 14 March 2023 Pages: 2653 - 2684

    

14. Domain adversarial neural networks for domain generalization: when it works and how to improve

    • Anthony Sicilia
    • Xingchen Zhao
    • Seong Jae Hwang

    OriginalPaper Open access 03 April 2023 Pages: 2685 - 2721

    

15. Robust matrix estimations meet Frank–Wolfe algorithm

    • Naimin Jing
    • Ethan X. Fang
    • Cheng Yong Tang

    OriginalPaper 05 April 2023 Pages: 2723 - 2760