Ghosh, Tomojit; Kirby, Michael Supervised dimensionality reduction and visualization using centroid-encoder. (English) Zbl 07625173 J. Mach. Learn. Res. 23, Paper No. 20, 34 p. (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{T. Ghosh} and \textit{M. Kirby}, J. Mach. Learn. Res. 23, Paper No. 20, 34 p. (2022; Zbl 07625173) Full Text: arXiv Link
Zheng, Xuebin; Zhou, Bingxin; Wang, Yu Guang; Zhuang, Xiaosheng Decimated framelet system on graphs and fast G-framelet transforms. (English) Zbl 07625171 J. Mach. Learn. Res. 23, Paper No. 18, 68 p. (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{X. Zheng} et al., J. Mach. Learn. Res. 23, Paper No. 18, 68 p. (2022; Zbl 07625171) Full Text: arXiv Link
Allerbo, Oskar; Jörnsten, Rebecka Non-linear, sparse dimensionality reduction via path Lasso penalized autoencoders. (English) Zbl 07626798 J. Mach. Learn. Res. 22, Paper No. 283, 28 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{O. Allerbo} and \textit{R. Jörnsten}, J. Mach. Learn. Res. 22, Paper No. 283, 28 p. (2021; Zbl 07626798) Full Text: arXiv Link
Roy, Arkaprava; Borg, Jana Schaich; Dunson, David B. Bayesian time-aligned factor analysis of paired multivariate time series. (English) Zbl 07626765 J. Mach. Learn. Res. 22, Paper No. 250, 27 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{A. Roy} et al., J. Mach. Learn. Res. 22, Paper No. 250, 27 p. (2021; Zbl 07626765) Full Text: arXiv Link
Zhang, Yikun; Chen, Yen-Chi Kernel smoothing, mean shift, and their learning theory with directional data. (English) Zbl 07415097 J. Mach. Learn. Res. 22, Paper No. 154, 92 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{Y. Zhang} and \textit{Y.-C. Chen}, J. Mach. Learn. Res. 22, Paper No. 154, 92 p. (2021; Zbl 07415097) Full Text: arXiv Link
Montiel, Jacob; Halford, Max; Mastelini, Saulo Martiello; Bolmier, Geoffrey; Sourty, Raphael; Vaysse, Robin; Zouitine, Adil; Gomes, Heitor Murilo; Read, Jesse; Abdessalem, Talel; Bifet, Albert River: machine learning for streaming data in Python. (English) Zbl 07370627 J. Mach. Learn. Res. 22, Paper No. 110, 8 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{J. Montiel} et al., J. Mach. Learn. Res. 22, Paper No. 110, 8 p. (2021; Zbl 07370627) Full Text: arXiv Link
Kubkowski, Mariusz; Mielniczuk, Jan; Teisseyre, Paweł How to gain on power: novel conditional independence tests based on short expansion of conditional mutual information. (English) Zbl 07370579 J. Mach. Learn. Res. 22, Paper No. 62, 57 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{M. Kubkowski} et al., J. Mach. Learn. Res. 22, Paper No. 62, 57 p. (2021; Zbl 07370579) Full Text: Link
Tian, Ye; Feng, Yang RaSE: random subspace ensemble classification. (English) Zbl 07370562 J. Mach. Learn. Res. 22, Paper No. 45, 93 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{Y. Tian} and \textit{Y. Feng}, J. Mach. Learn. Res. 22, Paper No. 45, 93 p. (2021; Zbl 07370562) Full Text: arXiv Link
Jiang, Gaoxia; Wang, Wenjian; Qian, Yuhua; Liang, Jiye A unified sample selection framework for output noise filtering: an error-bound perspective. (English) Zbl 07370535 J. Mach. Learn. Res. 22, Paper No. 18, 66 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{G. Jiang} et al., J. Mach. Learn. Res. 22, Paper No. 18, 66 p. (2021; Zbl 07370535) Full Text: Link
Hämäläinen, Joonas; Alencar, Alisson S. C.; Kärkkäinen, Tommi; Mattos, César L. C.; Souza Júnior, Amauri H.; Gomes, João P. P. Minimal learning machine: theoretical results and clustering-based reference point selection. (English) Zbl 07306918 J. Mach. Learn. Res. 21, Paper No. 239, 29 p. (2020). MSC: 68T05 62H30 62J02 PDFBibTeX XMLCite \textit{J. Hämäläinen} et al., J. Mach. Learn. Res. 21, Paper No. 239, 29 p. (2020; Zbl 07306918) Full Text: arXiv Link
Shilton, Alistair; Rajasegarar, Sutharshan; Palaniswami, Marimuthu Multiclass anomaly detector: the CS++ support vector machine. (English) Zbl 07306901 J. Mach. Learn. Res. 21, Paper No. 213, 39 p. (2020). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{A. Shilton} et al., J. Mach. Learn. Res. 21, Paper No. 213, 39 p. (2020; Zbl 07306901) Full Text: Link
Tonolini, Francesco; Radford, Jack; Turpin, Alex; Faccio, Daniele; Murray-Smith, Roderick Variational inference for computational imaging inverse problems. (English) Zbl 1527.68255 J. Mach. Learn. Res. 21, Paper No. 179, 46 p. (2020). MSC: 68U10 62F15 68T05 PDFBibTeX XMLCite \textit{F. Tonolini} et al., J. Mach. Learn. Res. 21, Paper No. 179, 46 p. (2020; Zbl 1527.68255) Full Text: arXiv Link
Pei, Yan Ru; Manukian, Haik; Di Ventra, Massimiliano Generating weighted MAX-2-SAT instances with frustrated loops: an RBM case study. (English) Zbl 1525.68146 J. Mach. Learn. Res. 21, Paper No. 159, 55 p. (2020). MSC: 68T20 68T05 PDFBibTeX XMLCite \textit{Y. R. Pei} et al., J. Mach. Learn. Res. 21, Paper No. 159, 55 p. (2020; Zbl 1525.68146) Full Text: arXiv Link
Almodóvar-Rivera, Israel A.; Maitra, Ranjan Kernel-estimated nonparametric overlap-based syncytial clustering. (English) Zbl 07255153 J. Mach. Learn. Res. 21, Paper No. 122, 54 p. (2020). MSC: 62H30 62-08 62G05 62P10 PDFBibTeX XMLCite \textit{I. A. Almodóvar-Rivera} and \textit{R. Maitra}, J. Mach. Learn. Res. 21, Paper No. 122, 54 p. (2020; Zbl 07255153) Full Text: arXiv Link
Li, Tianxi; Qian, Cheng; Levina, Elizaveta; Zhu, Ji High-dimensional Gaussian graphical models on network-linked data. (English) Zbl 1498.68249 J. Mach. Learn. Res. 21, Paper No. 74, 45 p. (2020). MSC: 68T05 62H22 PDFBibTeX XMLCite \textit{T. Li} et al., J. Mach. Learn. Res. 21, Paper No. 74, 45 p. (2020; Zbl 1498.68249) Full Text: arXiv Link
Ma, Fan; Meng, Deyu; Dong, Xuanyi; Yang, Yi Self-paced multi-view co-training. (English) Zbl 1498.68251 J. Mach. Learn. Res. 21, Paper No. 57, 38 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{F. Ma} et al., J. Mach. Learn. Res. 21, Paper No. 57, 38 p. (2020; Zbl 1498.68251) Full Text: Link
Kumar, Sandeep; Ying, Jiaxi; Cardoso, José Vinícius de M.; Palomar, Daniel P. A unified framework for structured graph learning via spectral constraints. (English) Zbl 1498.68246 J. Mach. Learn. Res. 21, Paper No. 22, 60 p. (2020). MSC: 68T05 05C50 62H12 62H22 62H30 68R10 PDFBibTeX XMLCite \textit{S. Kumar} et al., J. Mach. Learn. Res. 21, Paper No. 22, 60 p. (2020; Zbl 1498.68246) Full Text: arXiv Link
Gu, Mengyang; Shen, Weining Generalized probabilistic principal component analysis of correlated data. (English) Zbl 1497.62143 J. Mach. Learn. Res. 21, Paper No. 13, 41 p. (2020). MSC: 62H25 PDFBibTeX XMLCite \textit{M. Gu} and \textit{W. Shen}, J. Mach. Learn. Res. 21, Paper No. 13, 41 p. (2020; Zbl 1497.62143) Full Text: arXiv Link
Little, Anna; Maggioni, Mauro; Murphy, James M. Path-based spectral clustering: guarantees, robustness to outliers, and fast algorithms. (English) Zbl 1497.68430 J. Mach. Learn. Res. 21, Paper No. 6, 66 p. (2020). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{A. Little} et al., J. Mach. Learn. Res. 21, Paper No. 6, 66 p. (2020; Zbl 1497.68430) Full Text: arXiv Link
Castro, Daniel C.; Tan, Jeremy; Kainz, Bernhard; Konukoglu, Ender; Glocker, Ben Morpho-MNIST: quantitative assessment and diagnostics for representation learning. (English) Zbl 1433.68331 J. Mach. Learn. Res. 20, Paper No. 178, 29 p. (2019). MSC: 68T05 62H30 62H35 68-04 PDFBibTeX XMLCite \textit{D. C. Castro} et al., J. Mach. Learn. Res. 20, Paper No. 178, 29 p. (2019; Zbl 1433.68331) Full Text: arXiv Link
Hong, Bin; Zhang, Weizhong; Liu, Wei; Ye, Jieping; Cai, Deng; He, Xiaofei; Wang, Jie Scaling up sparse support vector machines by simultaneous feature and sample reduction. (English) Zbl 1434.68415 J. Mach. Learn. Res. 20, Paper No. 121, 39 p. (2019). MSC: 68T05 62H25 62H30 PDFBibTeX XMLCite \textit{B. Hong} et al., J. Mach. Learn. Res. 20, Paper No. 121, 39 p. (2019; Zbl 1434.68415) Full Text: arXiv Link
Loukas, Andreas Graph reduction with spectral and cut guarantees. (English) Zbl 1434.68366 J. Mach. Learn. Res. 20, Paper No. 116, 42 p. (2019). MSC: 68R10 05C50 68T05 PDFBibTeX XMLCite \textit{A. Loukas}, J. Mach. Learn. Res. 20, Paper No. 116, 42 p. (2019; Zbl 1434.68366) Full Text: arXiv Link
Masood, Muhammad A.; Doshi-Velez, Finale A particle-based variational approach to Bayesian non-negative matrix factorization. (English) Zbl 1434.68433 J. Mach. Learn. Res. 20, Paper No. 90, 56 p. (2019). MSC: 68T05 62F15 PDFBibTeX XMLCite \textit{M. A. Masood} and \textit{F. Doshi-Velez}, J. Mach. Learn. Res. 20, Paper No. 90, 56 p. (2019; Zbl 1434.68433) Full Text: arXiv Link
Wu, Anqi; Koyejo, Oluwasanmi; Pillow, Jonathan Dependent relevance determination for smooth and structured sparse regression. (English) Zbl 1434.68473 J. Mach. Learn. Res. 20, Paper No. 89, 43 p. (2019). MSC: 68T05 62F15 62P10 92C55 PDFBibTeX XMLCite \textit{A. Wu} et al., J. Mach. Learn. Res. 20, Paper No. 89, 43 p. (2019; Zbl 1434.68473) Full Text: arXiv Link
Vaz, Afonso Fernandes; Izbicki, Rafael; Stern, Rafael Bassi Quantification under prior probability shift: the ratio estimator and its extensions. (English) Zbl 1489.62079 J. Mach. Learn. Res. 20, Paper No. 79, 33 p. (2019). MSC: 62F10 62F15 68T20 PDFBibTeX XMLCite \textit{A. F. Vaz} et al., J. Mach. Learn. Res. 20, Paper No. 79, 33 p. (2019; Zbl 1489.62079) Full Text: arXiv Link
Glimsdal, Sondre; Granmo, Ole-Christoffer Thompson sampling guided stochastic searching on the line for deceptive environments with applications to root-finding problems. (English) Zbl 1485.62108 J. Mach. Learn. Res. 20, Paper No. 52, 24 p. (2019). MSC: 62L10 68W27 62C10 68T20 PDFBibTeX XMLCite \textit{S. Glimsdal} and \textit{O.-C. Granmo}, J. Mach. Learn. Res. 20, Paper No. 52, 24 p. (2019; Zbl 1485.62108) Full Text: arXiv Link
Fattahi, Salar; Sojoudi, Somayeh Graphical Lasso and thresholding: equivalence and closed-form solutions. (English) Zbl 1483.68296 J. Mach. Learn. Res. 20, Paper No. 10, 44 p. (2019). MSC: 68T05 62H12 62H22 62J07 PDFBibTeX XMLCite \textit{S. Fattahi} and \textit{S. Sojoudi}, J. Mach. Learn. Res. 20, Paper No. 10, 44 p. (2019; Zbl 1483.68296) Full Text: arXiv Link
Barbero, Álvaro; Sra, Suvrit Modular proximal optimization for multidimensional total-variation regularization. (English) Zbl 1411.90314 J. Mach. Learn. Res. 19, Paper No. 56, 82 p. (2018). MSC: 90C30 PDFBibTeX XMLCite \textit{Á. Barbero} and \textit{S. Sra}, J. Mach. Learn. Res. 19, Paper No. 56, 82 p. (2018; Zbl 1411.90314) Full Text: arXiv Link
Probst, Philipp; Boulesteix, Anne-Laure To tune or not to tune the number of trees in random forest. (English) Zbl 1468.68164 J. Mach. Learn. Res. 18(2017-2018), Paper No. 181, 18 p. (2018). MSC: 68T05 05C05 62H30 62J02 PDFBibTeX XMLCite \textit{P. Probst} and \textit{A.-L. Boulesteix}, J. Mach. Learn. Res. 18, Paper No. 181, 18 p. (2018; Zbl 1468.68164) Full Text: arXiv Link
Sasaki, Hiroaki; Kanamori, Takafumi; Hyvärinen, Aapo; Niu, Gang; Sugiyama, Masashi Mode-seeking clustering and density ridge estimation via direct estimation of density-derivative-ratios. (English) Zbl 1468.68168 J. Mach. Learn. Res. 18(2017-2018), Paper No. 180, 47 p. (2018). MSC: 68T05 62G07 62H30 62J07 PDFBibTeX XMLCite \textit{H. Sasaki} et al., J. Mach. Learn. Res. 18, Paper No. 180, 47 p. (2018; Zbl 1468.68168) Full Text: arXiv Link
Angiulli, Fabrizio On the behavior of intrinsically high-dimensional spaces: distances, direct and reverse nearest neighbors, and hubness. (English) Zbl 1471.62368 J. Mach. Learn. Res. 18(2017-2018), Paper No. 170, 60 p. (2018). MSC: 62H12 62R07 PDFBibTeX XMLCite \textit{F. Angiulli}, J. Mach. Learn. Res. 18, Paper No. 170, 60 p. (2018; Zbl 1471.62368) Full Text: Link
Vural, Elif; Guillemot, Christine A study of the classification of low-dimensional data with supervised manifold learning. (English) Zbl 1467.68153 J. Mach. Learn. Res. 18(2017-2018), Paper No. 157, 55 p. (2018). MSC: 68T05 62H11 62H30 PDFBibTeX XMLCite \textit{E. Vural} and \textit{C. Guillemot}, J. Mach. Learn. Res. 18, Paper No. 157, 55 p. (2018; Zbl 1467.68153) Full Text: arXiv Link
Ah-Pine, Julien An efficient and effective generic agglomerative hierarchical clustering approach. (English) Zbl 1467.62110 J. Mach. Learn. Res. 19, Paper No. 42, 43 p. (2018). MSC: 62H30 62G08 68T05 PDFBibTeX XMLCite \textit{J. Ah-Pine}, J. Mach. Learn. Res. 19, Paper No. 42, 43 p. (2018; Zbl 1467.62110) Full Text: Link
Andersen, Michael Riis; Vehtari, Aki; Winther, Ole; Hansen, Lars Kai Bayesian inference for spatio-temporal spike-and-slab priors. (English) Zbl 1442.62049 J. Mach. Learn. Res. 18(2017-2018), Paper No. 139, 58 p. (2017). MSC: 62F15 62H11 60G15 PDFBibTeX XMLCite \textit{M. R. Andersen} et al., J. Mach. Learn. Res. 18, Paper No. 139, 58 p. (2017; Zbl 1442.62049) Full Text: arXiv Link
Sun, Will Wei; Li, Lexin STORE: sparse tensor response regression and neuroimaging analysis. (English) Zbl 1442.62773 J. Mach. Learn. Res. 18(2017-2018), Paper No. 135, 37 p. (2017). MSC: 62R10 62H35 62P10 68T05 PDFBibTeX XMLCite \textit{W. W. Sun} and \textit{L. Li}, J. Mach. Learn. Res. 18, Paper No. 135, 37 p. (2017; Zbl 1442.62773) Full Text: arXiv Link
Liu, Weiwei; Tsang, Ivor W. Making decision trees feasible in ultrahigh feature and label dimensions. (English) Zbl 1434.68425 J. Mach. Learn. Res. 18(2017-2018), Paper No. 81, 36 p. (2017). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{W. Liu} and \textit{I. W. Tsang}, J. Mach. Learn. Res. 18, Paper No. 81, 36 p. (2017; Zbl 1434.68425) Full Text: Link
Schulam, Peter; Saria, Suchi Integrative analysis using coupled latent variable models for individualizing prognoses. (English) Zbl 1404.68117 J. Mach. Learn. Res. 17, Paper No. 234, 35 p. (2016). MSC: 68T05 62M40 62P10 92C50 PDFBibTeX XMLCite \textit{P. Schulam} and \textit{S. Saria}, J. Mach. Learn. Res. 17, Paper No. 234, 35 p. (2016; Zbl 1404.68117) Full Text: Link