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Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification Wanli ShiBin GuHeng Huang OriginalPaper 06 July 2021 Pages: 2005 - 2033
TRU-NET: a deep learning approach to high resolution prediction of rainfall Rilwan A. AdewoyinPeter DuebenRitabrata Dutta OriginalPaper Open access 07 July 2021 Pages: 2035 - 2062
On testing transitivity in online preference learning Björn HaddenhorstViktor BengsEyke Hüllermeier OriginalPaper Open access 12 July 2021 Pages: 2063 - 2084
Variational learning from implicit bandit feedback Quoc-Tuan TruongHady W. Lauw OriginalPaper 09 July 2021 Pages: 2085 - 2105
Testing conditional independence in supervised learning algorithms David S. WatsonMarvin N. Wright OriginalPaper Open access 02 August 2021 Pages: 2107 - 2129
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow Haiyan JiangHaoyi XiongDejing Dou S.I. : ECML PKDD 2021 07 July 2021 Pages: 2131 - 2150
Sampled Gromov Wasserstein Tanguy KerdoncuffRémi EmonetMarc Sebban OriginalPaper 26 July 2021 Pages: 2151 - 2186
Density-based weighting for imbalanced regression Michael SteiningerKonstantin KobsAndreas Hotho OriginalPaper Open access 07 July 2021 Pages: 2187 - 2211
Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting Kai ChenTwan van LaarhovenElena Marchiori OriginalPaper Open access 12 July 2021 Pages: 2213 - 2238
Information-theoretic regularization for learning global features by sequential VAE Kei AkuzawaYusuke IwasawaYutaka Matsuo OriginalPaper Open access 07 July 2021 Pages: 2239 - 2266
Convex optimization with an interpolation-based projection and its application to deep learning Riad AkrourAsma AtamnaJan Peters OriginalPaper Open access 19 July 2021 Pages: 2267 - 2289