Biecek, Przemysław DALEX: explainers for complex predictive models in R. (English) Zbl 07008340 J. Mach. Learn. Res. 19, Paper No. 84, 5 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{P. Biecek}, J. Mach. Learn. Res. 19, Paper No. 84, 5 p. (2018; Zbl 07008340) Full Text: Link OpenURL
Burns, David M.; Whyne, Cari M. Seglearn: a Python package for learning sequences and time series. (English) Zbl 07008339 J. Mach. Learn. Res. 19, Paper No. 83, 7 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{D. M. Burns} and \textit{C. M. Whyne}, J. Mach. Learn. Res. 19, Paper No. 83, 7 p. (2018; Zbl 07008339) Full Text: Link OpenURL
Tepper, Mariano; Sengupta, Anirvan M.; Chklovskii, Dmitri Clustering is semidefinitely not that hard: nonnegative SDP for manifold disentangling. (English) Zbl 07008338 J. Mach. Learn. Res. 19, Paper No. 82, 30 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{M. Tepper} et al., J. Mach. Learn. Res. 19, Paper No. 82, 30 p. (2018; Zbl 07008338) Full Text: Link OpenURL
Leblond, Rémi; Pedregosa, Fabian; Lacoste-Julien, Simon Improved asynchronous parallel optimization analysis for stochastic incremental methods. (English) Zbl 07008337 J. Mach. Learn. Res. 19, Paper No. 81, 68 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{R. Leblond} et al., J. Mach. Learn. Res. 19, Paper No. 81, 68 p. (2018; Zbl 07008337) Full Text: Link arXiv OpenURL
Zhang, Teng; Yang, Yi Robust PCA by manifold optimization. (English) Zbl 07008336 J. Mach. Learn. Res. 19, Paper No. 80, 39 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{T. Zhang} and \textit{Y. Yang}, J. Mach. Learn. Res. 19, Paper No. 80, 39 p. (2018; Zbl 07008336) Full Text: Link OpenURL
Mai, Xiaoyi; Couillet, Romain A random matrix analysis and improvement of semi-supervised learning for large dimensional data. (English) Zbl 07008335 J. Mach. Learn. Res. 19, Paper No. 79, 27 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{X. Mai} and \textit{R. Couillet}, J. Mach. Learn. Res. 19, Paper No. 79, 27 p. (2018; Zbl 07008335) Full Text: Link OpenURL
Fang, Yixin; Xu, Jinfeng; Yang, Lei Online bootstrap confidence intervals for the stochastic gradient descent estimator. (English) Zbl 07008334 J. Mach. Learn. Res. 19, Paper No. 78, 21 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{Y. Fang} et al., J. Mach. Learn. Res. 19, Paper No. 78, 21 p. (2018; Zbl 07008334) Full Text: Link OpenURL
Rohe, Karl; Tao, Jun; Han, Xintian; Binkiewicz, Norbert A note on quickly sampling a sparse matrix with low rank expectation. (English) Zbl 07008333 J. Mach. Learn. Res. 19, Paper No. 77, 13 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{K. Rohe} et al., J. Mach. Learn. Res. 19, Paper No. 77, 13 p. (2018; Zbl 07008333) Full Text: Link OpenURL
Chiang, Kai-Yang; Dhillon, Inderjit S.; Hsieh, Cho-Jui Using side information to reliably learn low-rank matrices from missing and corrupted observations. (English) Zbl 07008332 J. Mach. Learn. Res. 19, Paper No. 76, 35 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{K.-Y. Chiang} et al., J. Mach. Learn. Res. 19, Paper No. 76, 35 p. (2018; Zbl 07008332) Full Text: Link OpenURL
Miasojedow, Błażej; Rejchel, Wojciech Sparse estimation in Ising model via penalized Monte Carlo methods. (English) Zbl 07008331 J. Mach. Learn. Res. 19, Paper No. 75, 26 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{B. Miasojedow} and \textit{W. Rejchel}, J. Mach. Learn. Res. 19, Paper No. 75, 26 p. (2018; Zbl 07008331) Full Text: Link OpenURL
Mahajan, Dhruv; Agrawal, Nikunj; Keerthi, S. Sathiya; Sellamanickam, Sundararajan; Bottou, Léon An efficient distributed learning algorithm based on effective local functional approximations. (English) Zbl 07008330 J. Mach. Learn. Res. 19, Paper No. 74, 37 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{D. Mahajan} et al., J. Mach. Learn. Res. 19, Paper No. 74, 37 p. (2018; Zbl 07008330) Full Text: Link OpenURL
Burr, Michael; Gao, Shuhong; Knoll, Fiona Optimal bounds for Johnson-Lindenstrauss transformations. (English) Zbl 07008329 J. Mach. Learn. Res. 19, Paper No. 73, 22 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{M. Burr} et al., J. Mach. Learn. Res. 19, Paper No. 73, 22 p. (2018; Zbl 07008329) Full Text: Link arXiv OpenURL
Montiel, Jacob; Read, Jesse; Bifet, Albert; Abdessalem, Talel Scikit-multiflow: a multi-output streaming framework. (English) Zbl 07008328 J. Mach. Learn. Res. 19, Paper No. 72, 5 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{J. Montiel} et al., J. Mach. Learn. Res. 19, Paper No. 72, 5 p. (2018; Zbl 07008328) Full Text: Link OpenURL
Arunachalam, Srinivasan; de Wolf, Ronald Optimal quantum sample complexity of learning algorithms. (English) Zbl 1441.68056 J. Mach. Learn. Res. 19, Paper No. 71, 36 p. (2018). MSC: 68Q12 68Q32 81P68 PDF BibTeX XML Cite \textit{S. Arunachalam} and \textit{R. de Wolf}, J. Mach. Learn. Res. 19, Paper No. 71, 36 p. (2018; Zbl 1441.68056) Full Text: Link OpenURL
Soudry, Daniel; Hoffer, Elad; Nacson, Mor Shpigel; Gunasekar, Suriya; Srebro, Nathan The implicit bias of gradient descent on separable data. (English) Zbl 07008326 J. Mach. Learn. Res. 19, Paper No. 70, 57 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{D. Soudry} et al., J. Mach. Learn. Res. 19, Paper No. 70, 57 p. (2018; Zbl 07008326) Full Text: Link OpenURL
Šošić, Adrian; Rueckert, Elmar; Peters, Jan; Zoubir, Abdelhak M.; Koeppl, Heinz Inverse reinforcement learning via nonparametric spatio-temporal subgoal modeling. (English) Zbl 07008325 J. Mach. Learn. Res. 19, Paper No. 69, 45 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{A. Šošić} et al., J. Mach. Learn. Res. 19, Paper No. 69, 45 p. (2018; Zbl 07008325) Full Text: Link OpenURL
Qiu, Jinwen; Jammalamadaka, S. Rao; Ning, Ning Multivariate Bayesian structural time series model. (English) Zbl 07008324 J. Mach. Learn. Res. 19, Paper No. 68, 33 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{J. Qiu} et al., J. Mach. Learn. Res. 19, Paper No. 68, 33 p. (2018; Zbl 07008324) Full Text: Link OpenURL
Donner, Christian; Opper, Manfred Efficient Bayesian inference of sigmoidal Gaussian Cox processes. (English) Zbl 07008323 J. Mach. Learn. Res. 19, Paper No. 67, 34 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{C. Donner} and \textit{M. Opper}, J. Mach. Learn. Res. 19, Paper No. 67, 34 p. (2018; Zbl 07008323) Full Text: Link OpenURL
Spantini, Alessio; Bigoni, Daniele; Marzouk, Youssef Inference via low-dimensional couplings. (English) Zbl 07008322 J. Mach. Learn. Res. 19, Paper No. 66, 71 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{A. Spantini} et al., J. Mach. Learn. Res. 19, Paper No. 66, 71 p. (2018; Zbl 07008322) Full Text: Link OpenURL
Zheng, Charles; Achanta, Rakesh; Benjamini, Yuval Extrapolating expected accuracies for large multi-class problems. (English) Zbl 1407.68422 J. Mach. Learn. Res. 19, Paper No. 65, 30 p. (2018). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{C. Zheng} et al., J. Mach. Learn. Res. 19, Paper No. 65, 30 p. (2018; Zbl 1407.68422) Full Text: Link OpenURL
Duan, Leo L.; Johndrow, James E.; Dunson, David B. Scaling up data augmentation MCMC via calibration. (English) Zbl 1412.62101 J. Mach. Learn. Res. 19, Paper No. 64, 34 p. (2018). MSC: 62J12 68T05 65C05 PDF BibTeX XML Cite \textit{L. L. Duan} et al., J. Mach. Learn. Res. 19, Paper No. 64, 34 p. (2018; Zbl 1412.62101) Full Text: Link OpenURL
Lai, Zhao-Rong; Yang, Pei-Yi; Fang, Liangda; Wu, Xiaotian Short-term sparse portfolio optimization based on alternating direction method of multipliers. (English) Zbl 1420.91422 J. Mach. Learn. Res. 19, Paper No. 63, 28 p. (2018). MSC: 91G10 91-04 62P05 PDF BibTeX XML Cite \textit{Z.-R. Lai} et al., J. Mach. Learn. Res. 19, Paper No. 63, 28 p. (2018; Zbl 1420.91422) Full Text: Link OpenURL
Raviv, Dolev; Hazan, Tamir; Osadchy, Margarita Hinge-minimax learner for the ensemble of hyperplanes. (English) Zbl 1407.68414 J. Mach. Learn. Res. 19, Paper No. 62, 30 p. (2018). MSC: 68T05 PDF BibTeX XML Cite \textit{D. Raviv} et al., J. Mach. Learn. Res. 19, Paper No. 62, 30 p. (2018; Zbl 1407.68414) Full Text: Link OpenURL
Needell, Deanna; Saab, Rayan; Woolf, Tina Simple classification using binary data. (English) Zbl 1407.68410 J. Mach. Learn. Res. 19, Paper No. 61, 30 p. (2018). MSC: 68T05 68W40 PDF BibTeX XML Cite \textit{D. Needell} et al., J. Mach. Learn. Res. 19, Paper No. 61, 30 p. (2018; Zbl 1407.68410) Full Text: Link arXiv OpenURL
Oliveira, Ivo F. D.; Ailon, Nir; Davidov, Ori A new and flexible approach to the analysis of paired comparison data. (English) Zbl 1412.62105 J. Mach. Learn. Res. 19, Paper No. 60, 29 p. (2018). MSC: 62J15 68T05 PDF BibTeX XML Cite \textit{I. F. D. Oliveira} et al., J. Mach. Learn. Res. 19, Paper No. 60, 29 p. (2018; Zbl 1412.62105) Full Text: Link OpenURL
Acharya, Jayadev; Falahatgar, Moein; Jafarpour, Ashkan; Orlitsky, Alon; Suresh, Ananda Theertha Maximum selection and sorting with adversarial comparators. (English) Zbl 1407.68118 J. Mach. Learn. Res. 19, Paper No. 59, 31 p. (2018). MSC: 68P10 62G07 68Q25 PDF BibTeX XML Cite \textit{J. Acharya} et al., J. Mach. Learn. Res. 19, Paper No. 59, 31 p. (2018; Zbl 1407.68118) Full Text: Link OpenURL
Celisse, Alain; Mary-Huard, Tristan Theoretical analysis of cross-validation for estimating the risk of the \(k\)-nearest neighbor classifier. (English) Zbl 1412.62078 J. Mach. Learn. Res. 19, Paper No. 58, 54 p. (2018). MSC: 62H30 62H12 62G30 PDF BibTeX XML Cite \textit{A. Celisse} and \textit{T. Mary-Huard}, J. Mach. Learn. Res. 19, Paper No. 58, 54 p. (2018; Zbl 1412.62078) Full Text: Link OpenURL
Yang, Zhuoran; Ning, Yang; Liu, Han On semiparametric exponential family graphical models. (English) Zbl 1412.62102 J. Mach. Learn. Res. 19, Paper No. 57, 59 p. (2018). MSC: 62J12 62E15 PDF BibTeX XML Cite \textit{Z. Yang} et al., J. Mach. Learn. Res. 19, Paper No. 57, 59 p. (2018; Zbl 1412.62102) Full Text: Link OpenURL
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 PDF BibTeX XML Cite \textit{Á. Barbero} and \textit{S. Sra}, J. Mach. Learn. Res. 19, Paper No. 56, 82 p. (2018; Zbl 1411.90314) Full Text: Link arXiv OpenURL
Chen, Yuansi; Dwivedi, Raaz; Wainwright, Martin J.; Yu, Bin Fast MCMC sampling algorithms on polytopes. (English) Zbl 06982346 J. Mach. Learn. Res. 19, Paper No. 55, 86 p. (2018). MSC: 60J22 60D05 60J10 65C05 PDF BibTeX XML Cite \textit{Y. Chen} et al., J. Mach. Learn. Res. 19, Paper No. 55, 86 p. (2018; Zbl 06982346) Full Text: Link OpenURL
Dunlop, Matthew M.; Girolami, Mark A.; Stuart, Andrew M.; Teckentrup, Aretha L. How deep are deep Gaussian processes? (English) Zbl 06982345 J. Mach. Learn. Res. 19, Paper No. 54, 46 p. (2018). MSC: 60G15 68T07 60J20 PDF BibTeX XML Cite \textit{M. M. Dunlop} et al., J. Mach. Learn. Res. 19, Paper No. 54, 46 p. (2018; Zbl 06982345) Full Text: Link arXiv OpenURL
Lamprier, Sylvain; Gisselbrecht, Thibault; Gallinari, Patrick Profile-based bandit with unknown profiles. (English) Zbl 1462.68158 J. Mach. Learn. Res. 19, Paper No. 53, 40 p. (2018). MSC: 68T05 62C25 62F25 68W27 PDF BibTeX XML Cite \textit{S. Lamprier} et al., J. Mach. Learn. Res. 19, Paper No. 53, 40 p. (2018; Zbl 1462.68158) Full Text: Link OpenURL
Obuchi, Tomoyuki; Kabashima, Yoshiyuki Accelerating cross-validation in multinomial logistic regression with \(\ell_1\)-regularization. (English) Zbl 1467.62128 J. Mach. Learn. Res. 19, Paper No. 52, 30 p. (2018). MSC: 62J12 62H30 68T05 PDF BibTeX XML Cite \textit{T. Obuchi} and \textit{Y. Kabashima}, J. Mach. Learn. Res. 19, Paper No. 52, 30 p. (2018; Zbl 1467.62128) Full Text: Link OpenURL
Giordano, Ryan; Broderick, Tamara; Jordan, Michael I. Covariances, robustness, and variational Bayes. (English) Zbl 1467.62043 J. Mach. Learn. Res. 19, Paper No. 51, 49 p. (2018). MSC: 62F15 62F35 PDF BibTeX XML Cite \textit{R. Giordano} et al., J. Mach. Learn. Res. 19, Paper No. 51, 49 p. (2018; Zbl 1467.62043) Full Text: Link OpenURL
Achille, Alessandro; Soatto, Stefano Emergence of invariance and disentanglement in deep representations. (English) Zbl 1462.68166 J. Mach. Learn. Res. 19, Paper No. 50, 34 p. (2018). MSC: 68T07 62B10 62F15 PDF BibTeX XML Cite \textit{A. Achille} and \textit{S. Soatto}, J. Mach. Learn. Res. 19, Paper No. 50, 34 p. (2018; Zbl 1462.68166) Full Text: Link OpenURL
Shah, Nihar B.; Tabibian, Behzad; Muandet, Krikamol; Guyon, Isabelle; von Luxburg, Ulrike Design and analysis of the NIPS 2016 review process. (English) Zbl 1467.62180 J. Mach. Learn. Res. 19, Paper No. 49, 34 p. (2018). MSC: 62P25 94A16 68T05 PDF BibTeX XML Cite \textit{N. B. Shah} et al., J. Mach. Learn. Res. 19, Paper No. 49, 34 p. (2018; Zbl 1467.62180) Full Text: Link OpenURL
Yu, Huizhen; Mahmood, A. Rupam; Sutton, Richard S. On generalized Bellman equations and temporal-difference learning. (English) Zbl 1465.90117 J. Mach. Learn. Res. 19, Paper No. 48, 49 p. (2018). MSC: 90C40 60J20 68T05 90C39 PDF BibTeX XML Cite \textit{H. Yu} et al., J. Mach. Learn. Res. 19, Paper No. 48, 49 p. (2018; Zbl 1465.90117) Full Text: Link arXiv OpenURL
Kümmerle, Christian; Sigl, Juliane Harmonic mean iteratively reweighted least squares for low-rank matrix recovery. (English) Zbl 06982338 J. Mach. Learn. Res. 19, Paper No. 47, 49 p. (2018). MSC: 68-XX 90-XX PDF BibTeX XML Cite \textit{C. Kümmerle} and \textit{J. Sigl}, J. Mach. Learn. Res. 19, Paper No. 47, 49 p. (2018; Zbl 06982338) Full Text: Link arXiv OpenURL
van de Geer, Sara On tight bounds for the Lasso. (English) Zbl 1467.62127 J. Mach. Learn. Res. 19, Paper No. 46, 48 p. (2018). MSC: 62J07 62G30 60E15 PDF BibTeX XML Cite \textit{S. van de Geer}, J. Mach. Learn. Res. 19, Paper No. 46, 48 p. (2018; Zbl 1467.62127) Full Text: Link arXiv OpenURL
Au, Timothy C. Random forests, decision trees, and categorical predictors: the “absent levels” problem. (English) Zbl 1467.62111 J. Mach. Learn. Res. 19, Paper No. 45, 30 p. (2018). MSC: 62H30 62C25 62J02 PDF BibTeX XML Cite \textit{T. C. Au}, J. Mach. Learn. Res. 19, Paper No. 45, 30 p. (2018; Zbl 1467.62111) Full Text: Link OpenURL
Simon-Gabriel, Carl-Johann; Schölkopf, Bernhard Kernel distribution embeddings: universal kernels, characteristic kernels and kernel metrics on distributions. (English) Zbl 1467.62057 J. Mach. Learn. Res. 19, Paper No. 44, 29 p. (2018). MSC: 62G07 62E10 60B10 46E22 54C08 PDF BibTeX XML Cite \textit{C.-J. Simon-Gabriel} and \textit{B. Schölkopf}, J. Mach. Learn. Res. 19, Paper No. 44, 29 p. (2018; Zbl 1467.62057) Full Text: Link arXiv OpenURL
Liu, Xu-Qing; Liu, Xin-Sheng Markov blanket and Markov boundary of multiple variables. (English) Zbl 1467.62093 J. Mach. Learn. Res. 19, Paper No. 43, 50 p. (2018). MSC: 62H12 62M45 PDF BibTeX XML Cite \textit{X.-Q. Liu} and \textit{X.-S. Liu}, J. Mach. Learn. Res. 19, Paper No. 43, 50 p. (2018; Zbl 1467.62093) Full Text: Link OpenURL
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 PDF BibTeX XML Cite \textit{J. Ah-Pine}, J. Mach. Learn. Res. 19, Paper No. 42, 43 p. (2018; Zbl 1467.62110) Full Text: Link OpenURL
Dai, Bin; Wang, Yu; Aston, John; Hua, Gang; Wipf, David Connections with robust PCA and the role of emergent sparsity in variational autoencoder models. (English) Zbl 1467.62106 J. Mach. Learn. Res. 19, Paper No. 41, 42 p. (2018). MSC: 62H25 62G35 68T05 PDF BibTeX XML Cite \textit{B. Dai} et al., J. Mach. Learn. Res. 19, Paper No. 41, 42 p. (2018; Zbl 1467.62106) Full Text: Link OpenURL
Negahban, Sahand; Oh, Sewoong; Thekumparampil, Kiran K.; Xu, Jiaming Learning from comparisons and choices. (English) Zbl 1461.68192 J. Mach. Learn. Res. 19, Paper No. 40, 95 p. (2018). MSC: 68T05 62F07 62K15 PDF BibTeX XML Cite \textit{S. Negahban} et al., J. Mach. Learn. Res. 19, Paper No. 40, 95 p. (2018; Zbl 1461.68192) Full Text: Link OpenURL
Lehéricy, Luc State-by-state minimax adaptive estimation for nonparametric hidden Markov models. (English) Zbl 1467.62137 J. Mach. Learn. Res. 19, Paper No. 39, 46 p. (2018). MSC: 62M05 62G07 62M15 62C20 PDF BibTeX XML Cite \textit{L. Lehéricy}, J. Mach. Learn. Res. 19, Paper No. 39, 46 p. (2018; Zbl 1467.62137) Full Text: Link OpenURL
Yousefi, Niloofar; Lei, Yunwen; Kloft, Marius; Mollaghasemi, Mansooreh; Anagnostopoulos, Georgios C. Local Rademacher complexity-based learning guarantees for multi-task learning. (English) Zbl 1461.68205 J. Mach. Learn. Res. 19, Paper No. 38, 47 p. (2018). MSC: 68T05 60E15 62H30 PDF BibTeX XML Cite \textit{N. Yousefi} et al., J. Mach. Learn. Res. 19, Paper No. 38, 47 p. (2018; Zbl 1461.68205) Full Text: Link OpenURL
Thanei, Gian-Andrea; Meinshausen, Nicolai; Shah, Rajen D. The \(xyz\) algorithm for fast interaction search in high-dimensional data. (English) Zbl 1467.62123 J. Mach. Learn. Res. 19, Paper No. 37, 42 p. (2018). MSC: 62J05 62J07 62H20 62P10 62-04 68T05 PDF BibTeX XML Cite \textit{G.-A. Thanei} et al., J. Mach. Learn. Res. 19, Paper No. 37, 42 p. (2018; Zbl 1467.62123) Full Text: Link OpenURL
Rojas-Carulla, Mateo; Schölkopf, Bernhard; Turner, Richard; Peters, Jonas Invariant models for causal transfer learning. (English) Zbl 1461.68196 J. Mach. Learn. Res. 19, Paper No. 36, 34 p. (2018). MSC: 68T05 62G05 62G10 62J05 PDF BibTeX XML Cite \textit{M. Rojas-Carulla} et al., J. Mach. Learn. Res. 19, Paper No. 36, 34 p. (2018; Zbl 1461.68196) Full Text: Link OpenURL
Hang, Hanyuan; Steinwart, Ingo; Feng, Yunlong; Suykens, Johan A. K. Kernel density estimation for dynamical systems. (English) Zbl 1466.62282 J. Mach. Learn. Res. 19, Paper No. 35, 49 p. (2018). MSC: 62G07 37A50 68T05 PDF BibTeX XML Cite \textit{H. Hang} et al., J. Mach. Learn. Res. 19, Paper No. 35, 49 p. (2018; Zbl 1466.62282) Full Text: Link OpenURL
Kailkhura, Bhavya; Thiagarajan, Jayaraman J.; Rastogi, Charvi; Varshney, Pramod K.; Bremer, Peer-Timo A spectral approach for the design of experiments: design, analysis and algorithms. (English) Zbl 1466.62377 J. Mach. Learn. Res. 19, Paper No. 34, 46 p. (2018). MSC: 62K15 62M15 PDF BibTeX XML Cite \textit{B. Kailkhura} et al., J. Mach. Learn. Res. 19, Paper No. 34, 46 p. (2018; Zbl 1466.62377) Full Text: Link OpenURL
Gao, Chao Goodness-of-fit tests for random partitions via symmetric polynomials. (English) Zbl 1466.62309 J. Mach. Learn. Res. 19, Paper No. 33, 50 p. (2018). MSC: 62G10 62C20 PDF BibTeX XML Cite \textit{C. Gao}, J. Mach. Learn. Res. 19, Paper No. 33, 50 p. (2018; Zbl 1466.62309) Full Text: Link arXiv OpenURL
Shamir, Ohad Distribution-specific hardness of learning neural networks. (English) Zbl 1461.68200 J. Mach. Learn. Res. 19, Paper No. 32, 29 p. (2018). MSC: 68T05 62G05 62M45 68Q17 PDF BibTeX XML Cite \textit{O. Shamir}, J. Mach. Learn. Res. 19, Paper No. 32, 29 p. (2018; Zbl 1461.68200) Full Text: Link OpenURL
Jiang, Binyan; Wang, Xiangyu; Leng, Chenlei A direct approach for sparse quadratic discriminant analysis. (English) Zbl 1466.62353 J. Mach. Learn. Res. 19, Paper No. 31, 37 p. (2018). MSC: 62H30 62P10 PDF BibTeX XML Cite \textit{B. Jiang} et al., J. Mach. Learn. Res. 19, Paper No. 31, 37 p. (2018; Zbl 1466.62353) Full Text: Link OpenURL
Mücke, Nicole; Blanchard, Gilles Parallelizing spectrally regularized kernel algorithms. (English) Zbl 1461.68189 J. Mach. Learn. Res. 19, Paper No. 30, 29 p. (2018). MSC: 68T05 62G08 62J07 68W10 68W15 PDF BibTeX XML Cite \textit{N. Mücke} and \textit{G. Blanchard}, J. Mach. Learn. Res. 19, Paper No. 30, 29 p. (2018; Zbl 1461.68189) Full Text: Link OpenURL
Hardt, Moritz; Ma, Tengyu; Recht, Benjamin Gradient descent learns linear dynamical systems. (English) Zbl 1461.62150 J. Mach. Learn. Res. 19, Paper No. 29, 44 p. (2018). MSC: 62M09 37M10 62J05 62M15 90C26 PDF BibTeX XML Cite \textit{M. Hardt} et al., J. Mach. Learn. Res. 19, Paper No. 29, 44 p. (2018; Zbl 1461.62150) Full Text: Link arXiv OpenURL
Khetan, Ashish; Oh, Sewoong Generalized rank-breaking: computational and statistical tradeoffs. (English) Zbl 1445.62332 J. Mach. Learn. Res. 19, Paper No. 28, 42 p. (2018). MSC: 62R07 62F07 62J15 62-08 PDF BibTeX XML Cite \textit{A. Khetan} and \textit{S. Oh}, J. Mach. Learn. Res. 19, Paper No. 28, 42 p. (2018; Zbl 1445.62332) Full Text: Link OpenURL
Csiba, Dominik; Richtárik, Peter Importance sampling for minibatches. (English) Zbl 06982318 J. Mach. Learn. Res. 19, Paper No. 27, 21 p. (2018). MSC: 65C60 PDF BibTeX XML Cite \textit{D. Csiba} and \textit{P. Richtárik}, J. Mach. Learn. Res. 19, Paper No. 27, 21 p. (2018; Zbl 06982318) Full Text: Link OpenURL
Raissi, Maziar Deep hidden physics models: deep learning of nonlinear partial differential equations. (English) Zbl 1439.68021 J. Mach. Learn. Res. 19, Paper No. 25, 24 p. (2018). MSC: 68T07 35G20 35Q30 35Q53 35Q55 68T09 PDF BibTeX XML Cite \textit{M. Raissi}, J. Mach. Learn. Res. 19, Paper No. 25, 24 p. (2018; Zbl 1439.68021) Full Text: Link arXiv OpenURL
Grigoryeva, Lyudmila; Ortega, Juan-Pablo Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems. (English) Zbl 1439.68010 J. Mach. Learn. Res. 19, Paper No. 24, 40 p. (2018). MSC: 68Q07 68T05 PDF BibTeX XML Cite \textit{L. Grigoryeva} and \textit{J.-P. Ortega}, J. Mach. Learn. Res. 19, Paper No. 24, 40 p. (2018; Zbl 1439.68010) Full Text: Link OpenURL
Dereziński, Michał; Warmuth, Manfred K. Reverse iterative volume sampling for linear regression. (English) Zbl 1445.62162 J. Mach. Learn. Res. 19, Paper No. 23, 39 p. (2018). MSC: 62J05 62K05 68T05 PDF BibTeX XML Cite \textit{M. Dereziński} and \textit{M. K. Warmuth}, J. Mach. Learn. Res. 19, Paper No. 23, 39 p. (2018; Zbl 1445.62162) Full Text: Link OpenURL
Amjad, Muhammad; Shah, Devavrat; Shen, Dennis Robust synthetic control. (English) Zbl 1445.62113 J. Mach. Learn. Res. 19, Paper No. 22, 51 p. (2018). MSC: 62H12 62D20 62G35 62P20 PDF BibTeX XML Cite \textit{M. Amjad} et al., J. Mach. Learn. Res. 19, Paper No. 22, 51 p. (2018; Zbl 1445.62113) Full Text: Link OpenURL
Lattimore, Tor Refining the confidence level for optimistic bandit strategies. (English) Zbl 1445.62015 J. Mach. Learn. Res. 19, Paper No. 20, 32 p. (2018). MSC: 62C20 62L12 62G15 PDF BibTeX XML Cite \textit{T. Lattimore}, J. Mach. Learn. Res. 19, Paper No. 20, 32 p. (2018; Zbl 1445.62015) Full Text: Link OpenURL
Zhou, Yi; Liang, Yingbin; Yu, Yaoliang; Dai, Wei; Xing, Eric P. Distributed proximal gradient algorithm for partially asynchronous computer clusters. (English) Zbl 1455.90138 J. Mach. Learn. Res. 19, Paper No. 19, 32 p. (2018). Reviewer: Ctirad Matonoha (Praha) MSC: 90C30 68W10 68M14 68Q32 40A05 PDF BibTeX XML Cite \textit{Y. Zhou} et al., J. Mach. Learn. Res. 19, Paper No. 19, 32 p. (2018; Zbl 1455.90138) Full Text: Link OpenURL
Tsakiris, Manolis C.; Vidal, René Dual principal component pursuit. (English) Zbl 1444.62081 J. Mach. Learn. Res. 19, Paper No. 18, 50 p. (2018). MSC: 62H25 62G35 62G32 90C05 PDF BibTeX XML Cite \textit{M. C. Tsakiris} and \textit{R. Vidal}, J. Mach. Learn. Res. 19, Paper No. 18, 50 p. (2018; Zbl 1444.62081) Full Text: Link OpenURL
Durand, Audrey; Maillard, Odalric-Ambrym; Pineau, Joelle Streaming kernel regression with provably adaptive mean, variance, and regularization. (English) Zbl 1437.68151 J. Mach. Learn. Res. 19, Paper No. 17, 34 p. (2018). MSC: 68T05 62G08 62L12 68W27 PDF BibTeX XML Cite \textit{A. Durand} et al., J. Mach. Learn. Res. 19, Paper No. 17, 34 p. (2018; Zbl 1437.68151) Full Text: Link OpenURL
Dessein, Arnaud; Papadakis, Nicolas; Rouas, Jean-Luc Regularized optimal transport and the rot mover’s distance. (English) Zbl 1444.49017 J. Mach. Learn. Res. 19, Paper No. 15, 53 p. (2018). MSC: 49Q22 PDF BibTeX XML Cite \textit{A. Dessein} et al., J. Mach. Learn. Res. 19, Paper No. 15, 53 p. (2018; Zbl 1444.49017) Full Text: Link OpenURL
Akrour, Riad; Abdolmaleki, Abbas; Abdulsamad, Hany; Peters, Jan; Neumann, Gerhard Model-free trajectory-based policy optimization with monotonic improvement. (English) Zbl 1437.68147 J. Mach. Learn. Res. 19, Paper No. 14, 25 p. (2018). MSC: 68T05 90C40 62B10 PDF BibTeX XML Cite \textit{R. Akrour} et al., J. Mach. Learn. Res. 19, Paper No. 14, 25 p. (2018; Zbl 1437.68147) Full Text: Link OpenURL
Chen, Ruidi; Paschalidis, Ioannis Ch. A robust learning approach for regression models based on distributionally robust optimization. (English) Zbl 1437.68149 J. Mach. Learn. Res. 19, Paper No. 13, 48 p. (2018). MSC: 68T05 90C17 62J05 60B10 62F35 62J07 90C47 PDF BibTeX XML Cite \textit{R. Chen} and \textit{I. Ch. Paschalidis}, J. Mach. Learn. Res. 19, Paper No. 13, 48 p. (2018; Zbl 1437.68149) Full Text: Link OpenURL
Carrière, Mathieu; Michel, Bertrand; Oudot, Steve Statistical analysis and parameter selection for Mapper. (English) Zbl 1444.62172 J. Mach. Learn. Res. 19, Paper No. 12, 39 p. (2018). MSC: 62R40 62G15 PDF BibTeX XML Cite \textit{M. Carrière} et al., J. Mach. Learn. Res. 19, Paper No. 12, 39 p. (2018; Zbl 1444.62172) Full Text: Link arXiv OpenURL
Bybee, Leland; Atchadé, Yves Change-point computation for large graphical models: a scalable algorithm for Gaussian graphical models with change-points. (English) Zbl 1444.62077 J. Mach. Learn. Res. 19, Paper No. 11, 38 p. (2018). MSC: 62H22 62G10 62L20 62P20 PDF BibTeX XML Cite \textit{L. Bybee} and \textit{Y. Atchadé}, J. Mach. Learn. Res. 19, Paper No. 11, 38 p. (2018; Zbl 1444.62077) Full Text: Link OpenURL
Huang, Jian; Jiao, Yuling; Liu, Yanyan; Lu, Xiliang A constructive approach to \(L_0\) penalized regression. (English) Zbl 1444.62091 J. Mach. Learn. Res. 19, Paper No. 10, 37 p. (2018). MSC: 62J05 62J07 PDF BibTeX XML Cite \textit{J. Huang} et al., J. Mach. Learn. Res. 19, Paper No. 10, 37 p. (2018; Zbl 1444.62091) Full Text: Link OpenURL
de Bruin, Tim; Kober, Jens; Tuyls, Karl; Babuška, Robert Experience selection in deep reinforcement learning for control. (English) Zbl 1437.68150 J. Mach. Learn. Res. 19, Paper No. 9, 56 p. (2018). MSC: 68T05 62P30 PDF BibTeX XML Cite \textit{T. de Bruin} et al., J. Mach. Learn. Res. 19, Paper No. 9, 56 p. (2018; Zbl 1437.68150) Full Text: Link OpenURL
Srivastava, Sanvesh; Li, Cheng; Dunson, David B. Scalable Bayes via barycenter in Wasserstein space. (English) Zbl 1444.62037 J. Mach. Learn. Res. 19, Paper No. 8, 35 p. (2018). MSC: 62F15 62R07 62P25 90C05 PDF BibTeX XML Cite \textit{S. Srivastava} et al., J. Mach. Learn. Res. 19, Paper No. 8, 35 p. (2018; Zbl 1444.62037) Full Text: Link OpenURL
Park, Chiwoo; Apley, Daniel Patchwork kriging for large-scale Gaussian process regression. (English) Zbl 1444.62088 J. Mach. Learn. Res. 19, Paper No. 7, 43 p. (2018). MSC: 62J02 60G15 62R07 PDF BibTeX XML Cite \textit{C. Park} and \textit{D. Apley}, J. Mach. Learn. Res. 19, Paper No. 7, 43 p. (2018; Zbl 1444.62088) Full Text: Link OpenURL
Yang, Tianbao; Lin, Qihang RSG: beating subgradient method without smoothness and strong convexity. (English) Zbl 1444.90092 J. Mach. Learn. Res. 19, Paper No. 6, 33 p. (2018). MSC: 90C25 68T05 PDF BibTeX XML Cite \textit{T. Yang} and \textit{Q. Lin}, J. Mach. Learn. Res. 19, Paper No. 6, 33 p. (2018; Zbl 1444.90092) Full Text: Link arXiv OpenURL
El Karoui, Noureddine; Purdom, Elizabeth Can we trust the bootstrap in high-dimensions? The case of linear models. (English) Zbl 1444.62039 J. Mach. Learn. Res. 19, Paper No. 5, 66 p. (2018). MSC: 62F40 62F25 62J05 60B20 PDF BibTeX XML Cite \textit{N. El Karoui} and \textit{E. Purdom}, J. Mach. Learn. Res. 19, Paper No. 5, 66 p. (2018; Zbl 1444.62039) Full Text: Link OpenURL
Alaa, Ahmed M.; van der Schaar, Mihaela A hidden absorbing semi-Markov model for informatively censored temporal data: learning and inference. (English) Zbl 1445.62211 J. Mach. Learn. Res. 19, Paper No. 4, 62 p. (2018). MSC: 62M05 68T05 62N02 62P10 PDF BibTeX XML Cite \textit{A. M. Alaa} and \textit{M. van der Schaar}, J. Mach. Learn. Res. 19, Paper No. 4, 62 p. (2018; Zbl 1445.62211) Full Text: Link OpenURL
Das, Abhimanyu; Kempe, David Approximate submodularity and its applications: subset selection, sparse approximation and dictionary selection. (English) Zbl 1437.68200 J. Mach. Learn. Res. 19, Paper No. 3, 34 p. (2018). MSC: 68W25 62J05 68T05 PDF BibTeX XML Cite \textit{A. Das} and \textit{D. Kempe}, J. Mach. Learn. Res. 19, Paper No. 3, 34 p. (2018; Zbl 1437.68200) Full Text: Link OpenURL
Chen, Chen; Ren, Min; Zhang, Min; Zhang, Dabao A two-stage penalized least squares method for constructing large systems of structural equations. (English) Zbl 1444.62078 J. Mach. Learn. Res. 19, Paper No. 2, 34 p. (2018). MSC: 62H22 62R07 62J07 62P10 92D20 PDF BibTeX XML Cite \textit{C. Chen} et al., J. Mach. Learn. Res. 19, Paper No. 2, 34 p. (2018; Zbl 1444.62078) Full Text: Link OpenURL
Guo, Weili; Wei, Haikun; Ong, Yew-Soon; Hervas, Jaime Rubio; Zhao, Junsheng; Wang, Hai; Zhang, Kanjian Numerical analysis near singularities in RBF networks. (English) Zbl 1437.68156 J. Mach. Learn. Res. 19, Paper No. 1, 39 p. (2018). MSC: 68T07 62B10 62M45 65Q30 PDF BibTeX XML Cite \textit{W. Guo} et al., J. Mach. Learn. Res. 19, Paper No. 1, 39 p. (2018; Zbl 1437.68156) Full Text: Link OpenURL