1. Bayesian optimization with approximate set kernels

   • Jungtaek Kim
   • Michael McCourt
   • Seungjin Choi

   OriginalPaper 22 March 2021 Pages: 857 - 879

   

2. QuicK-means: accelerating inference for K-means by learning fast transforms

   • Luc Giffon
   • Valentin Emiya
   • Liva Ralaivola

   OriginalPaper 14 April 2021 Pages: 881 - 905

   

3. Robust supervised topic models under label noise

   • Wei Wang
   • Bing Guo
   • Xinhua Suo

   OriginalPaper 14 April 2021 Pages: 907 - 931

   

4. Convex programming based spectral clustering

   • Tomohiko Mizutani

   OriginalPaper 14 April 2021 Pages: 933 - 964

   

5. Large scale multi-label learning using Gaussian processes

   • Aristeidis Panos
   • Petros Dellaportas
   • Michalis K. Titsias

   OriginalPaper Open access 14 April 2021 Pages: 965 - 987

   

6. autoBOT: evolving neuro-symbolic representations for explainable low resource text classification

   • Blaž Škrlj
   • Matej Martinc
   • Senja Pollak

   OriginalPaper Open access 14 April 2021 Pages: 989 - 1028

   

7. Topic extraction from extremely short texts with variational manifold regularization

   • Ximing Li
   • Yang Wang
   • Meng Wang

   OriginalPaper 16 April 2021 Pages: 1029 - 1066

   

8. Adaptive covariate acquisition for minimizing total cost of classification

   • Daniel Andrade
   • Yuzuru Okajima

   OriginalPaper Open access 18 April 2021 Pages: 1067 - 1104