Stich, Sebastian U.; Karimireddy, Sai Praneeth The error-feedback framework: SGD with delayed gradients. (English) Zbl 07307490 J. Mach. Learn. Res. 21, Paper No. 237, 36 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{S. U. Stich} and \textit{S. P. Karimireddy}, J. Mach. Learn. Res. 21, Paper No. 237, 36 p. (2020; Zbl 07307490) Full Text: arXiv Link
Geoffrey, Chinot; Guillaume, Lecué; Matthieu, Lerasle Robust high dimensional learning for Lipschitz and convex losses. (English) Zbl 07307489 J. Mach. Learn. Res. 21, Paper No. 233, 47 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{C. Geoffrey} et al., J. Mach. Learn. Res. 21, Paper No. 233, 47 p. (2020; Zbl 07307489) Full Text: arXiv Link
Heber, Frederik; Trst’anová, Žofia; Leimkuhler, Benedict Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications. (English) Zbl 07307488 J. Mach. Learn. Res. 21, Paper No. 228, 33 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{F. Heber} et al., J. Mach. Learn. Res. 21, Paper No. 228, 33 p. (2020; Zbl 07307488) Full Text: Link
Horel, Enguerrand; Giesecke, Kay Significance tests for neural networks. (English) Zbl 07307487 J. Mach. Learn. Res. 21, Paper No. 227, 29 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{E. Horel} and \textit{K. Giesecke}, J. Mach. Learn. Res. 21, Paper No. 227, 29 p. (2020; Zbl 07307487) Full Text: arXiv Link
Jiang, Tao; Vavasis, Stephen; Zhai, Chen Wen Recovery of a mixture of Gaussians by sum-of-norms clustering. (English) Zbl 07307486 J. Mach. Learn. Res. 21, Paper No. 225, 16 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{T. Jiang} et al., J. Mach. Learn. Res. 21, Paper No. 225, 16 p. (2020; Zbl 07307486) Full Text: arXiv Link
Miolane, Nina; Guigui, Nicolas; Le Brigant, Alice; Mathe, Johan; Hou, Benjamin; Thanwerdas, Yann; Heyder, Stefan; Peltre, Olivier; Koep, Niklas; Zaatiti, Hadi; Hajri, Hatem; Cabanes, Yann; Gerald, Thomas; Chauchat, Paul; Shewmake, Christian; Brooks, Daniel; Kainz, Bernhard; Donnat, Claire; Holmes, Susan; Pennec, Xavier Geomstats: a Python package for Riemannian geometry in machine learning. (English) Zbl 07307485 J. Mach. Learn. Res. 21, Paper No. 223, 9 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{N. Miolane} et al., J. Mach. Learn. Res. 21, Paper No. 223, 9 p. (2020; Zbl 07307485) Full Text: arXiv Link
De, Anindya; Long, Philip M.; Servedio, Rocco A. Learning sums of independent random variables with sparse collective support. (English) Zbl 07307484 J. Mach. Learn. Res. 21, Paper No. 221, 79 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{A. De} et al., J. Mach. Learn. Res. 21, Paper No. 221, 79 p. (2020; Zbl 07307484) Full Text: arXiv Link
Younes, Laurent Diffeomorphic learning. (English) Zbl 07307483 J. Mach. Learn. Res. 21, Paper No. 220, 28 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{L. Younes}, J. Mach. Learn. Res. 21, Paper No. 220, 28 p. (2020; Zbl 07307483) Full Text: arXiv Link
Tajbakhsh, Sam Davanloo; Aybat, Necdet Serhat; Del Castillo, Enrique On the theoretical guarantees for parameter estimation of Gaussian random field models: a sparse precision matrix approach. (English) Zbl 07307482 J. Mach. Learn. Res. 21, Paper No. 217, 41 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{S. D. Tajbakhsh} et al., J. Mach. Learn. Res. 21, Paper No. 217, 41 p. (2020; Zbl 07307482) Full Text: arXiv Link
Pölsterl, Sebastian scikit-survival: a library for time-to-event analysis built on top of scikit-learn. (English) Zbl 07307481 J. Mach. Learn. Res. 21, Paper No. 212, 6 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{S. Pölsterl}, J. Mach. Learn. Res. 21, Paper No. 212, 6 p. (2020; Zbl 07307481) Full Text: Link
Belchi, Francisco; Brodzki, Jacek; Burfitt, Matthew; Niranjan, Mahesan A numerical measure of the instability of Mapper-type algorithms. (English) Zbl 07307480 J. Mach. Learn. Res. 21, Paper No. 202, 45 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{F. Belchi} et al., J. Mach. Learn. Res. 21, Paper No. 202, 45 p. (2020; Zbl 07307480) Full Text: arXiv Link
Wang, Di; Gaboardi, Marco; Smith, Adam; Xu, Jinhui Empirical risk minimization in the non-interactive local model of differential privacy. (English) Zbl 07307479 J. Mach. Learn. Res. 21, Paper No. 200, 39 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{D. Wang} et al., J. Mach. Learn. Res. 21, Paper No. 200, 39 p. (2020; Zbl 07307479) Full Text: arXiv Link
Wang, Haoran; Zariphopoulou, Thaleia; Zhou, Xun Yu Reinforcement learning in continuous time and space: a stochastic control approach. (English) Zbl 07307478 J. Mach. Learn. Res. 21, Paper No. 198, 34 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{H. Wang} et al., J. Mach. Learn. Res. 21, Paper No. 198, 34 p. (2020; Zbl 07307478) Full Text: Link
Belhadji, Ayoub; Bardenet, Rémi; Chainais, Pierre A determinantal point process for column subset selection. (English) Zbl 07307477 J. Mach. Learn. Res. 21, Paper No. 197, 62 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{A. Belhadji} et al., J. Mach. Learn. Res. 21, Paper No. 197, 62 p. (2020; Zbl 07307477) Full Text: arXiv Link
Tibo, Alessandro; Jaeger, Manfred; Frasconi, Paolo Learning and interpreting multi-multi-instance learning networks. (English) Zbl 07307476 J. Mach. Learn. Res. 21, Paper No. 193, 60 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{A. Tibo} et al., J. Mach. Learn. Res. 21, Paper No. 193, 60 p. (2020; Zbl 07307476) Full Text: arXiv Link
Thalmeier, Dominik; Kappen, Hilbert J.; Totaro, Simone; Gómez, Vicenç Adaptive smoothing for path integral control. (English) Zbl 07307475 J. Mach. Learn. Res. 21, Paper No. 191, 37 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{D. Thalmeier} et al., J. Mach. Learn. Res. 21, Paper No. 191, 37 p. (2020; Zbl 07307475) Full Text: arXiv Link
Gu, Bin; Xian, Wenhan; Huo, Zhouyuan; Deng, Cheng; Huang, Heng A unified \(q\)-memorization framework for asynchronous stochastic optimization. (English) Zbl 07307474 J. Mach. Learn. Res. 21, Paper No. 190, 53 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{B. Gu} et al., J. Mach. Learn. Res. 21, Paper No. 190, 53 p. (2020; Zbl 07307474) Full Text: Link
Li, Boyue; Cen, Shicong; Chen, Yuxin; Chi, Yuejie Communication-efficient distributed optimization in networks with gradient tracking and variance reduction. (English) Zbl 07307473 J. Mach. Learn. Res. 21, Paper No. 180, 51 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{B. Li} et al., J. Mach. Learn. Res. 21, Paper No. 180, 51 p. (2020; Zbl 07307473) Full Text: arXiv Link
Bing, Xin; Bunea, Florentina; Wegkamp, Marten Optimal estimation of sparse topic models. (English) Zbl 07307472 J. Mach. Learn. Res. 21, Paper No. 177, 45 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{X. Bing} et al., J. Mach. Learn. Res. 21, Paper No. 177, 45 p. (2020; Zbl 07307472) Full Text: arXiv Link
Shi, Chengchun; Lu, Wenbin; Song, Rui Breaking the curse of nonregularity with subagging – inference of the mean outcome under optimal treatment regimes. (English) Zbl 07307471 J. Mach. Learn. Res. 21, Paper No. 176, 67 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{C. Shi} et al., J. Mach. Learn. Res. 21, Paper No. 176, 67 p. (2020; Zbl 07307471) Full Text: Link
Hector, Emily C.; Song, Peter X.-K. Doubly distributed supervised learning and inference with high-dimensional correlated outcomes. (English) Zbl 07307470 J. Mach. Learn. Res. 21, Paper No. 173, 35 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{E. C. Hector} and \textit{P. X. K. Song}, J. Mach. Learn. Res. 21, Paper No. 173, 35 p. (2020; Zbl 07307470) Full Text: arXiv Link
Mentch, Lucas; Zhou, Siyu Randomization as regularization: a degrees of freedom explanation for random forest success. (English) Zbl 07307469 J. Mach. Learn. Res. 21, Paper No. 171, 36 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{L. Mentch} and \textit{S. Zhou}, J. Mach. Learn. Res. 21, Paper No. 171, 36 p. (2020; Zbl 07307469) Full Text: arXiv Link
Zhai, Yuexiang; Yang, Zitong; Liao, Zhenyu; Wright, John; Ma, Yi Complete dictionary learning via \(\ell^4\)-norm maximization over the orthogonal group. (English) Zbl 07307468 J. Mach. Learn. Res. 21, Paper No. 165, 68 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{Y. Zhai} et al., J. Mach. Learn. Res. 21, Paper No. 165, 68 p. (2020; Zbl 07307468) Full Text: arXiv Link
Arenz, Oleg; Zhong, Mingjun; Neumann, Gerhard Trust-region variational inference with Gaussian mixture models. (English) Zbl 07307467 J. Mach. Learn. Res. 21, Paper No. 163, 60 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{O. Arenz} et al., J. Mach. Learn. Res. 21, Paper No. 163, 60 p. (2020; Zbl 07307467) Full Text: arXiv Link
Schreiber, Jacob; Bilmes, Jeffrey; Noble, William Stafford apricot: submodular selection for data summarization in Python. (English) Zbl 07307466 J. Mach. Learn. Res. 21, Paper No. 161, 6 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{J. Schreiber} et al., J. Mach. Learn. Res. 21, Paper No. 161, 6 p. (2020; Zbl 07307466) Full Text: arXiv Link
Gu, Jiaying; Zhou, Qing Learning big Gaussian Bayesian networks: partition, estimation and fusion. (English) Zbl 07307465 J. Mach. Learn. Res. 21, Paper No. 158, 31 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{J. Gu} and \textit{Q. Zhou}, J. Mach. Learn. Res. 21, Paper No. 158, 31 p. (2020; Zbl 07307465) Full Text: arXiv Link
Wang, Zhe; Liang, Yingbin; Ji, Pengsheng Spectral algorithms for community detection in directed networks. (English) Zbl 07307464 J. Mach. Learn. Res. 21, Paper No. 153, 45 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{Z. Wang} et al., J. Mach. Learn. Res. 21, Paper No. 153, 45 p. (2020; Zbl 07307464) Full Text: arXiv Link
Papyan, Vardan Traces of class/cross-class structure pervade deep learning spectra. (English) Zbl 07306931 J. Mach. Learn. Res. 21, Paper No. 252, 64 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{V. Papyan}, J. Mach. Learn. Res. 21, Paper No. 252, 64 p. (2020; Zbl 07306931) Full Text: arXiv Link
Lyu, Hanbaek; Needell, Deanna; Balzano, Laura Online matrix factorization for Markovian data and applications to network dictionary learning. (English) Zbl 07306930 J. Mach. Learn. Res. 21, Paper No. 251, 49 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{H. Lyu} et al., J. Mach. Learn. Res. 21, Paper No. 251, 49 p. (2020; Zbl 07306930) Full Text: arXiv Link
Lu, Wenqi; Zhu, Zhongyi; Lian, Heng High-dimensional quantile tensor regression. (English) Zbl 07306929 J. Mach. Learn. Res. 21, Paper No. 250, 31 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{W. Lu} et al., J. Mach. Learn. Res. 21, Paper No. 250, 31 p. (2020; Zbl 07306929) Full Text: Link
Zhou, Can; Wang, Xiaofei; Guo, Jianhua Learning mixed latent tree models. (English) Zbl 07306928 J. Mach. Learn. Res. 21, Paper No. 249, 35 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{C. Zhou} et al., J. Mach. Learn. Res. 21, Paper No. 249, 35 p. (2020; Zbl 07306928) Full Text: Link
Henderson, Peter; Hu, Jieru; Romoff, Joshua; Brunskill, Emma; Jurafsky, Dan; Pineau, Joelle Towards the systematic reporting of the energy and carbon footprints of machine learning. (English) Zbl 07306927 J. Mach. Learn. Res. 21, Paper No. 248, 43 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{P. Henderson} et al., J. Mach. Learn. Res. 21, Paper No. 248, 43 p. (2020; Zbl 07306927) Full Text: arXiv Link
Ortelli, Francesco; van de Geer, Sara Adaptive rates for total variation image denoising. (English) Zbl 07306926 J. Mach. Learn. Res. 21, Paper No. 247, 38 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{F. Ortelli} and \textit{S. van de Geer}, J. Mach. Learn. Res. 21, Paper No. 247, 38 p. (2020; Zbl 07306926) Full Text: arXiv Link
Witte, Janine; Henckel, Leonard; Maathuis, Marloes H.; Didelez, Vanessa On efficient adjustment in causal graphs. (English) Zbl 07306925 J. Mach. Learn. Res. 21, Paper No. 246, 45 p. (2020). MSC: 68T05 62A09 62D20 PDFBibTeX XMLCite \textit{J. Witte} et al., J. Mach. Learn. Res. 21, Paper No. 246, 45 p. (2020; Zbl 07306925) Full Text: arXiv Link
Chen, Shuxiao; Dobriban, Edgar; Lee, Jane H. A group-theoretic framework for data augmentation. (English) Zbl 07306924 J. Mach. Learn. Res. 21, Paper No. 245, 71 p. (2020). MSC: 68T20 68T05 PDFBibTeX XMLCite \textit{S. Chen} et al., J. Mach. Learn. Res. 21, Paper No. 245, 71 p. (2020; Zbl 07306924) Full Text: arXiv Link
Rejchel, Wojciech; Bogdan, Małgorzata Rank-based Lasso – efficient methods for high-dimensional robust model selection. (English) Zbl 07306923 J. Mach. Learn. Res. 21, Paper No. 244, 47 p. (2020). MSC: 62F07 68P20 62J07 PDFBibTeX XMLCite \textit{W. Rejchel} and \textit{M. Bogdan}, J. Mach. Learn. Res. 21, Paper No. 244, 47 p. (2020; Zbl 07306923) Full Text: arXiv Link
Plečko, Drago; Meinshausen, Nicolai Fair data adaptation with quantile preservation. (English) Zbl 07306921 J. Mach. Learn. Res. 21, Paper No. 242, 44 p. (2020). MSC: 68T05 62A09 62D20 PDFBibTeX XMLCite \textit{D. Plečko} and \textit{N. Meinshausen}, J. Mach. Learn. Res. 21, Paper No. 242, 44 p. (2020; Zbl 07306921) Full Text: arXiv Link
Zhou, Feng; Li, Zhidong; Fan, Xuhui; Wang, Yang; Sowmya, Arcot; Chen, Fang Efficient inference for nonparametric Hawkes processes using auxiliary latent variables. (English) Zbl 07306920 J. Mach. Learn. Res. 21, Paper No. 241, 31 p. (2020). MSC: 68T05 62F15 60G55 PDFBibTeX XMLCite \textit{F. Zhou} et al., J. Mach. Learn. Res. 21, Paper No. 241, 31 p. (2020; Zbl 07306920) Full Text: Link
Gonon, Lukas; Grigoryeva, Lyudmila; Ortega, Juan-Pablo Risk bounds for reservoir computing. (English) Zbl 07306919 J. Mach. Learn. Res. 21, Paper No. 240, 61 p. (2020). MSC: 68T05 60-08 60H25 93E35 PDFBibTeX XMLCite \textit{L. Gonon} et al., J. Mach. Learn. Res. 21, Paper No. 240, 61 p. (2020; Zbl 07306919) Full Text: arXiv 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: 68Q25 68T05 PDFBibTeX XMLCite \textit{J. Hämäläinen} et al., J. Mach. Learn. Res. 21, Paper No. 239, 29 p. (2020; Zbl 07306918) Full Text: arXiv Link
Barnes, Leighton Pate; Han, Yanjun; Özgür, Ayfer Lower bounds for learning distributions under communication constraints via Fisher information. (English) Zbl 07306916 J. Mach. Learn. Res. 21, Paper No. 236, 30 p. (2020). MSC: 68T05 62B10 68M14 PDFBibTeX XMLCite \textit{L. P. Barnes} et al., J. Mach. Learn. Res. 21, Paper No. 236, 30 p. (2020; Zbl 07306916) Full Text: arXiv Link
Bahmani, Sohail; Romberg, Justin Convex programming for estimation in nonlinear recurrent models. (English) Zbl 07306915 J. Mach. Learn. Res. 21, Paper No. 235, 20 p. (2020). MSC: 68T07 90C25 PDFBibTeX XMLCite \textit{S. Bahmani} and \textit{J. Romberg}, J. Mach. Learn. Res. 21, Paper No. 235, 20 p. (2020; Zbl 07306915) Full Text: arXiv Link
Massias, Mathurin; Vaiter, Samuel; Gramfort, Alexandre; Salmon, Joseph Dual extrapolation for sparse GLMs. (English) Zbl 07306914 J. Mach. Learn. Res. 21, Paper No. 234, 33 p. (2020). MSC: 62J12 68Q25 68T20 PDFBibTeX XMLCite \textit{M. Massias} et al., J. Mach. Learn. Res. 21, Paper No. 234, 33 p. (2020; Zbl 07306914) Full Text: arXiv Link
Ćevid, Domagoj; Bühlmann, Peter; Meinshausen, Nicolai Spectral deconfounding via perturbed sparse linear models. (English) Zbl 07306913 J. Mach. Learn. Res. 21, Paper No. 232, 41 p. (2020). MSC: 68T09 62R07 62H25 68T05 PDFBibTeX XMLCite \textit{D. Ćevid} et al., J. Mach. Learn. Res. 21, Paper No. 232, 41 p. (2020; Zbl 07306913) Full Text: arXiv Link
Bertsimas, Dimitris; Li, Michael Lingzhi Fast exact matrix completion: a unified optimization framework for matrix completion. (English) Zbl 07306912 J. Mach. Learn. Res. 21, Paper No. 231, 43 p. (2020). MSC: 62L20 15A83 68T20 PDFBibTeX XMLCite \textit{D. Bertsimas} and \textit{M. L. Li}, J. Mach. Learn. Res. 21, Paper No. 231, 43 p. (2020; Zbl 07306912) Full Text: arXiv Link
Bertsimas, Dimitris; Paskov, Ivan Stable regression: on the power of optimization over randomization. (English) Zbl 07306911 J. Mach. Learn. Res. 21, Paper No. 230, 25 p. (2020). MSC: 68Q25 68T05 68T20 PDFBibTeX XMLCite \textit{D. Bertsimas} and \textit{I. Paskov}, J. Mach. Learn. Res. 21, Paper No. 230, 25 p. (2020; Zbl 07306911) Full Text: Link
Roy, Arkaprava; Dunson, David B. Nonparametric graphical model for counts. (English) Zbl 07306910 J. Mach. Learn. Res. 21, Paper No. 229, 21 p. (2020). MSC: 62G07 62H10 62H12 68T05 62F15 PDFBibTeX XMLCite \textit{A. Roy} and \textit{D. B. Dunson}, J. Mach. Learn. Res. 21, Paper No. 229, 21 p. (2020; Zbl 07306910) Full Text: arXiv Link
Tang, Peipei; Wang, Chengjing; Sun, Defeng; Toh, Kim-Chuan A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems. (English) Zbl 07306909 J. Mach. Learn. Res. 21, Paper No. 226, 38 p. (2020). MSC: 62R07 68T05 90C26 PDFBibTeX XMLCite \textit{P. Tang} et al., J. Mach. Learn. Res. 21, Paper No. 226, 38 p. (2020; Zbl 07306909) Full Text: arXiv Link
Zhang, Yuankun; Lian, Heng; Yu, Yan Ultra-high dimensional single-index quantile regression. (English) Zbl 07306908 J. Mach. Learn. Res. 21, Paper No. 224, 25 p. (2020). MSC: 68T09 62G08 62R07 68T05 PDFBibTeX XMLCite \textit{Y. Zhang} et al., J. Mach. Learn. Res. 21, Paper No. 224, 25 p. (2020; Zbl 07306908) Full Text: Link
Weinshall, Daphna; Amir, Dan Theory of curriculum learning, with convex loss functions. (English) Zbl 07306907 J. Mach. Learn. Res. 21, Paper No. 222, 19 p. (2020). MSC: 68T05 62H30 62J05 90C90 PDFBibTeX XMLCite \textit{D. Weinshall} and \textit{D. Amir}, J. Mach. Learn. Res. 21, Paper No. 222, 19 p. (2020; Zbl 07306907) Full Text: arXiv Link
Ward, Rachel; Wu, Xiaoxia; Bottou, Leon AdaGrad stepsizes: sharp convergence over nonconvex landscapes. (English) Zbl 07306906 J. Mach. Learn. Res. 21, Paper No. 219, 30 p. (2020). MSC: 68T05 90C15 90C26 PDFBibTeX XMLCite \textit{R. Ward} et al., J. Mach. Learn. Res. 21, Paper No. 219, 30 p. (2020; Zbl 07306906) Full Text: arXiv Link
Kocák, Tomáš; Munos, Rémi; Kveton, Branislav; Agrawal, Shipra; Valko, Michal Spectral bandits. (English) Zbl 07306905 J. Mach. Learn. Res. 21, Paper No. 218, 44 p. (2020). MSC: 68T05 68T35 68W27 PDFBibTeX XMLCite \textit{T. Kocák} et al., J. Mach. Learn. Res. 21, Paper No. 218, 44 p. (2020; Zbl 07306905) Full Text: Link
Chen, Xi; Wang, Yining; Zhou, Yuan Dynamic assortment optimization with changing contextual information. (English) Zbl 07306904 J. Mach. Learn. Res. 21, Paper No. 216, 44 p. (2020). MSC: 91B42 PDFBibTeX XMLCite \textit{X. Chen} et al., J. Mach. Learn. Res. 21, Paper No. 216, 44 p. (2020; Zbl 07306904) Full Text: arXiv Link
Vandaele, Robin; Saeys, Yvan; De Bie, Tijl Mining topological structure in graphs through forest representations. (English) Zbl 07306903 J. Mach. Learn. Res. 21, Paper No. 215, 68 p. (2020). MSC: 68T05 55N31 68R10 PDFBibTeX XMLCite \textit{R. Vandaele} et al., J. Mach. Learn. Res. 21, Paper No. 215, 68 p. (2020; Zbl 07306903) Full Text: Link
Chi, Eric C.; Gaines, Brian J.; Sun, Will Wei; Zhou, Hua; Yang, Jian Provable convex co-clustering of tensors. (English) Zbl 07306902 J. Mach. Learn. Res. 21, Paper No. 214, 58 p. (2020). MSC: 62H30 68T05 15A69 62R07 PDFBibTeX XMLCite \textit{E. C. Chi} et al., J. Mach. Learn. Res. 21, Paper No. 214, 58 p. (2020; Zbl 07306902) 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
Blum, Avrim; Dick, Travis; Manoj, Naren; Zhang, Hongyang Random smoothing might be unable to certify \(\ell_\infty\) robustness for high-dimensional images. (English) Zbl 07306900 J. Mach. Learn. Res. 21, Paper No. 211, 21 p. (2020). MSC: 68T05 62H30 68T09 94A08 PDFBibTeX XMLCite \textit{A. Blum} et al., J. Mach. Learn. Res. 21, Paper No. 211, 21 p. (2020; Zbl 07306900) Full Text: arXiv Link
Arik, Sercan O.; Pfister, Tomas ProtoAttend: attention-based prototypical learning. (English) Zbl 07306899 J. Mach. Learn. Res. 21, Paper No. 210, 35 p. (2020). MSC: 68T05 68T07 PDFBibTeX XMLCite \textit{S. O. Arik} and \textit{T. Pfister}, J. Mach. Learn. Res. 21, Paper No. 210, 35 p. (2020; Zbl 07306899) Full Text: arXiv Link
Locatello, Francesco; Bauer, Stefan; Lucic, Mario; Raetsch, Gunnar; Gelly, Sylvain; Schölkopf, Bernhard; Bachem, Olivier A sober look at the unsupervised learning of disentangled representations and their evaluation. (English) Zbl 07306898 J. Mach. Learn. Res. 21, Paper No. 209, 62 p. (2020). MSC: 68T05 68W40 68-02 PDFBibTeX XMLCite \textit{F. Locatello} et al., J. Mach. Learn. Res. 21, Paper No. 209, 62 p. (2020; Zbl 07306898) Full Text: arXiv Link
Liu, Fanghui; Huang, Xiaolin; Gong, Chen; Yang, Jie; Li, Li Learning data-adaptive non-parametric kernels. (English) Zbl 07306897 J. Mach. Learn. Res. 21, Paper No. 208, 39 p. (2020). MSC: 68T05 62H30 90C90 PDFBibTeX XMLCite \textit{F. Liu} et al., J. Mach. Learn. Res. 21, Paper No. 208, 39 p. (2020; Zbl 07306897) Full Text: arXiv Link
He, Baihua; Liu, Yanyan; Wu, Yuanshan; Yin, Guosheng; Zhao, Xingqiu Functional martingale residual process for high-dimensional Cox regression with model averaging. (English) Zbl 07306896 J. Mach. Learn. Res. 21, Paper No. 207, 37 p. (2020). MSC: 62N02 68T05 62P10 PDFBibTeX XMLCite \textit{B. He} et al., J. Mach. Learn. Res. 21, Paper No. 207, 37 p. (2020; Zbl 07306896) Full Text: Link
Yuan, Xiao-Tong; Li, Ping On convergence of distributed approximate Newton methods: globalization, sharper bounds and beyond. (English) Zbl 07306895 J. Mach. Learn. Res. 21, Paper No. 206, 51 p. (2020). MSC: 68T05 65K10 68W15 PDFBibTeX XMLCite \textit{X.-T. Yuan} and \textit{P. Li}, J. Mach. Learn. Res. 21, Paper No. 206, 51 p. (2020; Zbl 07306895) Full Text: arXiv Link
Fischer, Simon; Steinwart, Ingo Sobolev norm learning rates for regularized least-squares algorithms. (English) Zbl 1475.68268 J. Mach. Learn. Res. 21, Paper No. 205, 38 p. (2020). Reviewer: Yunwen Lei (Hong Kong) MSC: 68T05 62G08 PDFBibTeX XMLCite \textit{S. Fischer} and \textit{I. Steinwart}, J. Mach. Learn. Res. 21, Paper No. 205, 38 p. (2020; Zbl 1475.68268) Full Text: arXiv Link
Slawski, Martin; Ben-David, Emanuel; Li, Ping Two-stage approach to multivariate linear regression with sparsely mismatched data. (English) Zbl 07306893 J. Mach. Learn. Res. 21, Paper No. 204, 42 p. (2020). MSC: 62J05 62H12 PDFBibTeX XMLCite \textit{M. Slawski} et al., J. Mach. Learn. Res. 21, Paper No. 204, 42 p. (2020; Zbl 07306893) Full Text: arXiv Link
Engelhardt, Dalit Dynamic control of stochastic evolution: a deep reinforcement learning approach to adaptively targeting emergent drug resistance. (English) Zbl 07306892 J. Mach. Learn. Res. 21, Paper No. 203, 30 p. (2020). MSC: 92C50 68T07 93E35 PDFBibTeX XMLCite \textit{D. Engelhardt}, J. Mach. Learn. Res. 21, Paper No. 203, 30 p. (2020; Zbl 07306892) Full Text: arXiv Link
Mohammadi, Reza; Pratola, Matthew; Kaptein, Maurits Continuous-time birth-death MCMC for Bayesian regression tree models. (English) Zbl 07306891 J. Mach. Learn. Res. 21, Paper No. 201, 26 p. (2020). MSC: 68T05 60J22 62G08 62F15 65C05 PDFBibTeX XMLCite \textit{R. Mohammadi} et al., J. Mach. Learn. Res. 21, Paper No. 201, 26 p. (2020; Zbl 07306891) Full Text: arXiv Link
Wang, Yazhen; Wu, Shang Asymptotic analysis via stochastic differential equations of gradient descent algorithms in statistical and computational paradigms. (English) Zbl 07306890 J. Mach. Learn. Res. 21, Paper No. 199, 103 p. (2020). MSC: 65K05 60F05 60H15 62L20 68T05 90C15 PDFBibTeX XMLCite \textit{Y. Wang} and \textit{S. Wu}, J. Mach. Learn. Res. 21, Paper No. 199, 103 p. (2020; Zbl 07306890) Full Text: arXiv Link
Lehnert, Lucas; Littman, Michael L. Successor features combine elements of model-free and model-based reinforcement learning. (English) Zbl 1527.68184 J. Mach. Learn. Res. 21, Paper No. 196, 53 p. (2020). MSC: 68T05 90C40 PDFBibTeX XMLCite \textit{L. Lehnert} and \textit{M. L. Littman}, J. Mach. Learn. Res. 21, Paper No. 196, 53 p. (2020; Zbl 1527.68184) Full Text: arXiv Link
Molybog, Igor; Madani, Ramtin; Lavaei, Javad Conic optimization for quadratic regression under sparse noise. (English) Zbl 1527.62048 J. Mach. Learn. Res. 21, Paper No. 195, 36 p. (2020). MSC: 62J02 68T05 65K05 PDFBibTeX XMLCite \textit{I. Molybog} et al., J. Mach. Learn. Res. 21, Paper No. 195, 36 p. (2020; Zbl 1527.62048) Full Text: Link
Al-Shedivat, Maruan; Dubey, Avinava; Xing, Eric Contextual explanation networks. (English) Zbl 07306887 J. Mach. Learn. Res. 21, Paper No. 194, 44 p. (2020). MSC: 68T05 62H22 62H30 62N01 62N05 PDFBibTeX XMLCite \textit{M. Al-Shedivat} et al., J. Mach. Learn. Res. 21, Paper No. 194, 44 p. (2020; Zbl 07306887) Full Text: arXiv Link
Xu, Ganggang; Wang, Ming; Bian, Jiangze; Huang, Hui; Burch, Timothy R.; Andrade, Sandro C.; Zhang, Jingfei; Guan, Yongtao Semi-parametric learning of structured temporal point processes. (English) Zbl 1527.62027 J. Mach. Learn. Res. 21, Paper No. 192, 39 p. (2020). MSC: 62G05 60G55 62H25 PDFBibTeX XMLCite \textit{G. Xu} et al., J. Mach. Learn. Res. 21, Paper No. 192, 39 p. (2020; Zbl 1527.62027) Full Text: Link
Tenzer, Yaniv; Moscovich, Amit; Dorn, Mary Frances; Nadler, Boaz; Spiegelman, Clifford Beyond trees: classification with sparse pairwise dependencies. (English) Zbl 1527.68195 J. Mach. Learn. Res. 21, Paper No. 189, 33 p. (2020). MSC: 68T05 62H22 62H30 PDFBibTeX XMLCite \textit{Y. Tenzer} et al., J. Mach. Learn. Res. 21, Paper No. 189, 33 p. (2020; Zbl 1527.68195) Full Text: arXiv Link
Rotnitzky, Andrea; Smucler, Ezequiel Efficient adjustment sets for population average causal treatment effect estimation in graphical models. (English) Zbl 1527.62007 J. Mach. Learn. Res. 21, Paper No. 188, 86 p. (2020). MSC: 62D20 62G05 62H22 PDFBibTeX XMLCite \textit{A. Rotnitzky} and \textit{E. Smucler}, J. Mach. Learn. Res. 21, Paper No. 188, 86 p. (2020; Zbl 1527.62007) Full Text: arXiv Link
Tuo, Rui; Wang, Wenjia Kriging prediction with isotropic Matérn correlations: robustness and experimental designs. (English) Zbl 07306883 J. Mach. Learn. Res. 21, Paper No. 187, 38 p. (2020). MSC: 62-XX PDFBibTeX XMLCite \textit{R. Tuo} and \textit{W. Wang}, J. Mach. Learn. Res. 21, Paper No. 187, 38 p. (2020; Zbl 07306883) Full Text: arXiv Link
Hoffmann, Franca; Hosseini, Bamdad; Ren, Zhi; Stuart, Andrew M. Consistency of semi-supervised learning algorithms on graphs: probit and one-hot methods. (English) Zbl 1527.68179 J. Mach. Learn. Res. 21, Paper No. 186, 55 p. (2020). MSC: 68T05 05C50 62H30 PDFBibTeX XMLCite \textit{F. Hoffmann} et al., J. Mach. Learn. Res. 21, Paper No. 186, 55 p. (2020; Zbl 1527.68179) Full Text: arXiv Link
Naitzat, Gregory; Zhitnikov, Andrey; Lim, Lek-Heng Topology of deep neural networks. (English) Zbl 1527.68207 J. Mach. Learn. Res. 21, Paper No. 184, 40 p. (2020). MSC: 68T07 55N31 68U03 PDFBibTeX XMLCite \textit{G. Naitzat} et al., J. Mach. Learn. Res. 21, Paper No. 184, 40 p. (2020; Zbl 1527.68207) Full Text: arXiv Link
Meng, Haomiao; Zhao, Ying-Qi; Fu, Haoda; Qiao, Xingye Near-optimal individualized treatment recommendations. (English) Zbl 1527.68187 J. Mach. Learn. Res. 21, Paper No. 183, 28 p. (2020). MSC: 68T05 62H30 62P10 PDFBibTeX XMLCite \textit{H. Meng} et al., J. Mach. Learn. Res. 21, Paper No. 183, 28 p. (2020; Zbl 1527.68187) Full Text: arXiv Link
Chen, Xi; Liu, Weidong; Mao, Xiaojun; Yang, Zhuoyi Distributed high-dimensional regression under a quantile loss function. (English) Zbl 07306878 J. Mach. Learn. Res. 21, Paper No. 182, 43 p. (2020). MSC: 62J05 PDFBibTeX XMLCite \textit{X. Chen} et al., J. Mach. Learn. Res. 21, Paper No. 182, 43 p. (2020; Zbl 07306878) Full Text: arXiv Link
Narvekar, Sanmit; Peng, Bei; Leonetti, Matteo; Sinapov, Jivko; Taylor, Matthew E.; Stone, Peter Curriculum learning for reinforcement learning domains: a framework and survey. (English) Zbl 1527.68188 J. Mach. Learn. Res. 21, Paper No. 181, 50 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{S. Narvekar} et al., J. Mach. Learn. Res. 21, Paper No. 181, 50 p. (2020; Zbl 1527.68188) Full Text: arXiv 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
Rashid, Tabish; Samvelyan, Mikayel; de Witt, Christian Schroeder; Farquhar, Gregory; Foerster, Jakob; Whiteson, Shimon Monotonic value function factorisation for deep multi-agent reinforcement learning. (English) Zbl 1527.68192 J. Mach. Learn. Res. 21, Paper No. 178, 51 p. (2020). MSC: 68T05 68T07 68T42 PDFBibTeX XMLCite \textit{T. Rashid} et al., J. Mach. Learn. Res. 21, Paper No. 178, 51 p. (2020; Zbl 1527.68192) Full Text: arXiv Link
Agrawal, Devanshu; Papamarkou, Theodore; Hinkle, Jacob Wide neural networks with bottlenecks are deep Gaussian processes. (English) Zbl 1525.68130 J. Mach. Learn. Res. 21, Paper No. 175, 66 p. (2020). MSC: 68T07 60G15 62M45 PDFBibTeX XMLCite \textit{D. Agrawal} et al., J. Mach. Learn. Res. 21, Paper No. 175, 66 p. (2020; Zbl 1525.68130) Full Text: arXiv Link
Nakada, Ryumei; Imaizumi, Masaaki Adaptive approximation and generalization of deep neural network with intrinsic dimensionality. (English) Zbl 1525.68135 J. Mach. Learn. Res. 21, Paper No. 174, 38 p. (2020). MSC: 68T07 PDFBibTeX XMLCite \textit{R. Nakada} and \textit{M. Imaizumi}, J. Mach. Learn. Res. 21, Paper No. 174, 38 p. (2020; Zbl 1525.68135) Full Text: arXiv Link
Hashimoto, Yuka; Ishikawa, Isao; Ikeda, Masahiro; Matsuo, Yoichi; Kawahara, Yoshinobu Krylov subspace method for nonlinear dynamical systems with random noise. (English) Zbl 1527.37095 J. Mach. Learn. Res. 21, Paper No. 172, 29 p. (2020). MSC: 37M99 37H99 37C30 65C30 60H30 PDFBibTeX XMLCite \textit{Y. Hashimoto} et al., J. Mach. Learn. Res. 21, Paper No. 172, 29 p. (2020; Zbl 1527.37095) Full Text: arXiv Link
Hoiles, William; Krishnamurthy, Vikram; Pattanayak, Kunal Rationally inattentive inverse reinforcement learning explains YouTube commenting behavior. (English) Zbl 1525.68112 J. Mach. Learn. Res. 21, Paper No. 170, 39 p. (2020). MSC: 68T05 62F15 62H30 62P20 94A17 PDFBibTeX XMLCite \textit{W. Hoiles} et al., J. Mach. Learn. Res. 21, Paper No. 170, 39 p. (2020; Zbl 1525.68112) Full Text: arXiv Link
Kobak, Dmitry; Lomond, Jonathan; Sanchez, Benoit The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization. (English) Zbl 1525.68116 J. Mach. Learn. Res. 21, Paper No. 169, 16 p. (2020). MSC: 68T05 62J05 62J07 62R07 PDFBibTeX XMLCite \textit{D. Kobak} et al., J. Mach. Learn. Res. 21, Paper No. 169, 16 p. (2020; Zbl 1525.68116) Full Text: arXiv Link
Song, Hyebin; Dai, Ran; Raskutti, Garvesh; Barber, Rina Foygel Convex and non-convex approaches for statistical inference with class-conditional noisy labels. (English) Zbl 1525.68126 J. Mach. Learn. Res. 21, Paper No. 168, 58 p. (2020). MSC: 68T05 62J12 62H12 62H30 PDFBibTeX XMLCite \textit{H. Song} et al., J. Mach. Learn. Res. 21, Paper No. 168, 58 p. (2020; Zbl 1525.68126) Full Text: arXiv Link
Kallus, Nathan; Uehara, Masatoshi Double reinforcement learning for efficient off-policy evaluation in Markov decision processes. (English) Zbl 1525.68113 J. Mach. Learn. Res. 21, Paper No. 167, 63 p. (2020). MSC: 68T05 90C40 90C90 PDFBibTeX XMLCite \textit{N. Kallus} and \textit{M. Uehara}, J. Mach. Learn. Res. 21, Paper No. 167, 63 p. (2020; Zbl 1525.68113) Full Text: arXiv Link
Nicholson, William B.; Wilms, Ines; Bien, Jacob; Matteson, David S. High dimensional forecasting via interpretable vector autoregression. (English) Zbl 1525.62038 J. Mach. Learn. Res. 21, Paper No. 166, 52 p. (2020). MSC: 62M10 62H12 68T05 PDFBibTeX XMLCite \textit{W. B. Nicholson} et al., J. Mach. Learn. Res. 21, Paper No. 166, 52 p. (2020; Zbl 1525.62038) Full Text: arXiv Link
Knop, Szymon; Spurek, Przemysław; Tabor, Jacek; Podolak, Igor; Mazur, Marcin; Jastrzębski, Stanisław Cramer-Wold auto-encoder. (English) Zbl 1525.68114 J. Mach. Learn. Res. 21, Paper No. 164, 28 p. (2020). MSC: 68T05 68P30 PDFBibTeX XMLCite \textit{S. Knop} et al., J. Mach. Learn. Res. 21, Paper No. 164, 28 p. (2020; Zbl 1525.68114) Full Text: arXiv Link
Xu, Yichong; Balakrishnan, Sivaraman; Singh, Aarti; Dubrawski, Artur Regression with comparisons: escaping the curse of dimensionality with ordinal information. (English) Zbl 1525.68129 J. Mach. Learn. Res. 21, Paper No. 162, 54 p. (2020). MSC: 68T05 62-08 62F07 62G08 62J02 62J15 PDFBibTeX XMLCite \textit{Y. Xu} et al., J. Mach. Learn. Res. 21, Paper No. 162, 54 p. (2020; Zbl 1525.68129) Full Text: arXiv Link
Gao, Chao; Yao, Yuan; Zhu, Weizhi Generative adversarial nets for robust scatter estimation: a proper scoring rule perspective. (English) Zbl 1525.68111 J. Mach. Learn. Res. 21, Paper No. 160, 48 p. (2020). MSC: 68T05 62-08 62F35 62H12 62H30 PDFBibTeX XMLCite \textit{C. Gao} et al., J. Mach. Learn. Res. 21, Paper No. 160, 48 p. (2020; Zbl 1525.68111) 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
Nolan, Tui H.; Menictas, Marianne; Wand, Matt P. Streamlined variational inference with higher level random effects. (English) Zbl 1527.62024 J. Mach. Learn. Res. 21, Paper No. 157, 62 p. (2020). MSC: 62F15 62-08 62R07 PDFBibTeX XMLCite \textit{T. H. Nolan} et al., J. Mach. Learn. Res. 21, Paper No. 157, 62 p. (2020; Zbl 1527.62024) Full Text: arXiv Link
Jaiswal, Prateek; Rao, Vinayak; Honnappa, Harsha Asymptotic consistency of \(\alpha \)-Rényi-approximate posteriors. (English) Zbl 1525.62016 J. Mach. Learn. Res. 21, Paper No. 156, 42 p. (2020). MSC: 62F15 62F12 68T05 62-08 PDFBibTeX XMLCite \textit{P. Jaiswal} et al., J. Mach. Learn. Res. 21, Paper No. 156, 42 p. (2020; Zbl 1525.62016) Full Text: arXiv Link
Kulunchakov, Andrei; Mairal, Julien Estimate sequences for stochastic composite optimization: variance reduction, acceleration, and robustness to noise. (English) Zbl 1527.90160 J. Mach. Learn. Res. 21, Paper No. 155, 52 p. (2020). MSC: 90C25 90C15 62L20 65K05 PDFBibTeX XMLCite \textit{A. Kulunchakov} and \textit{J. Mairal}, J. Mach. Learn. Res. 21, Paper No. 155, 52 p. (2020; Zbl 1527.90160) Full Text: arXiv Link
Wang, Miaoyan; Li, Lexin Learning from binary multiway data: probabilistic tensor decomposition and its statistical optimality. (English) Zbl 1525.68127 J. Mach. Learn. Res. 21, Paper No. 154, 38 p. (2020). MSC: 68T05 15A69 62-08 62H12 62J12 PDFBibTeX XMLCite \textit{M. Wang} and \textit{L. Li}, J. Mach. Learn. Res. 21, Paper No. 154, 38 p. (2020; Zbl 1525.68127) Full Text: arXiv Link
Yuan, Xiao-Tong; Liu, Bo; Wang, Lezi; Liu, Qingshan; Metaxas, Dimitris N. Dual iterative hard thresholding. (English) Zbl 1525.90343 J. Mach. Learn. Res. 21, Paper No. 152, 50 p. (2020). MSC: 90C26 68T20 PDFBibTeX XMLCite \textit{X.-T. Yuan} et al., J. Mach. Learn. Res. 21, Paper No. 152, 50 p. (2020; Zbl 1525.90343) Full Text: Link
Paul, Supratik; Chatzilygeroudis, Konstantinos; Ciosek, Kamil; Mouret, Jean-Baptiste; Osborne, Michael A.; Whiteson, Shimon Robust reinforcement learning with Bayesian optimisation and quadrature. (English) Zbl 1525.68124 J. Mach. Learn. Res. 21, Paper No. 151, 31 p. (2020). MSC: 68T05 62-08 62F15 90C90 PDFBibTeX XMLCite \textit{S. Paul} et al., J. Mach. Learn. Res. 21, Paper No. 151, 31 p. (2020; Zbl 1525.68124) Full Text: Link
Binois, Mickael; Picheny, Victor; Taillandier, Patrick; Habbal, Abderrahmane The Kalai-Smorodinsky solution for many-objective Bayesian optimization. (English) Zbl 1525.90384 J. Mach. Learn. Res. 21, Paper No. 150, 42 p. (2020). MSC: 90C29 62C10 62-04 60G15 62F15 68T05 PDFBibTeX XMLCite \textit{M. Binois} et al., J. Mach. Learn. Res. 21, Paper No. 150, 42 p. (2020; Zbl 1525.90384) Full Text: arXiv Link