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@article{DBLP:journals/jmlr/AcharyaFJOS18,
author = {Jayadev Acharya and
Moein Falahatgar and
Ashkan Jafarpour and
Alon Orlitsky and
Ananda Theertha Suresh},
title = {Maximum Selection and Sorting with Adversarial Comparators},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {59:1--59:31},
year = {2018},
url = {http://jmlr.org/papers/v19/17-165.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/AcharyaFJOS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AchilleS18,
author = {Alessandro Achille and
Stefano Soatto},
title = {Emergence of Invariance and Disentanglement in Deep Representations},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {50:1--50:34},
year = {2018},
url = {http://jmlr.org/papers/v19/17-646.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/AchilleS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Ah-Pine18,
author = {Julien Ah{-}Pine},
title = {An Efficient and Effective Generic Agglomerative Hierarchical Clustering
Approach},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {42:1--42:43},
year = {2018},
url = {http://jmlr.org/papers/v19/18-117.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Ah-Pine18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AkrourAAPN18,
author = {Riad Akrour and
Abbas Abdolmaleki and
Hany Abdulsamad and
Jan Peters and
Gerhard Neumann},
title = {Model-Free Trajectory-based Policy Optimization with Monotonic Improvement},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {14:1--14:25},
year = {2018},
url = {http://jmlr.org/papers/v19/17-329.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/AkrourAAPN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AlaaS18,
author = {Ahmed M. Alaa and
Mihaela van der Schaar},
title = {A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal
Data: Learning and Inference},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {4:1--4:62},
year = {2018},
url = {http://jmlr.org/papers/v19/16-656.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/AlaaS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/AmjadSS18,
author = {Muhammad J. Amjad and
Devavrat Shah and
Dennis Shen},
title = {Robust Synthetic Control},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {22:1--22:51},
year = {2018},
url = {http://jmlr.org/papers/v19/17-777.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/AmjadSS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ArunachalamW18,
author = {Srinivasan Arunachalam and
Ronald de Wolf},
title = {Optimal Quantum Sample Complexity of Learning Algorithms},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {71:1--71:36},
year = {2018},
url = {http://jmlr.org/papers/v19/18-195.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ArunachalamW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Au18,
author = {Timothy C. Au},
title = {Random Forests, Decision Trees, and Categorical Predictors: The "Absent
Levels" Problem},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {45:1--45:30},
year = {2018},
url = {http://jmlr.org/papers/v19/16-474.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Au18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Biecek18,
author = {Przemyslaw Biecek},
title = {{DALEX:} Explainers for Complex Predictive Models in {R}},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {84:1--84:5},
year = {2018},
url = {http://jmlr.org/papers/v19/18-416.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Biecek18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BruinKTB18,
author = {Tim de Bruin and
Jens Kober and
Karl Tuyls and
Robert Babuska},
title = {Experience Selection in Deep Reinforcement Learning for Control},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {9:1--9:56},
year = {2018},
url = {http://jmlr.org/papers/v19/17-131.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/BruinKTB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BurnsW18,
author = {David M. Burns and
Cari M. Whyne},
title = {Seglearn: {A} Python Package for Learning Sequences and Time Series},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {83:1--83:7},
year = {2018},
url = {http://jmlr.org/papers/v19/18-160.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/BurnsW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BurrGK18,
author = {Michael A. Burr and
Shuhong Gao and
Fiona Knoll},
title = {Optimal Bounds for Johnson-Lindenstrauss Transformations},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {73:1--73:22},
year = {2018},
url = {http://jmlr.org/papers/v19/18-264.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/BurrGK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/BybeeA18,
author = {Leland Bybee and
Yves F. Atchad{\'{e}}},
title = {Change-Point Computation for Large Graphical Models: {A} Scalable
Algorithm for Gaussian Graphical Models with Change-Points},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {11:1--11:38},
year = {2018},
url = {http://jmlr.org/papers/v19/17-218.html},
timestamp = {Tue, 19 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/BybeeA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CarriereMO18,
author = {Mathieu Carri{\`{e}}re and
Bertrand Michel and
Steve Oudot},
title = {Statistical Analysis and Parameter Selection for Mapper},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {12:1--12:39},
year = {2018},
url = {http://jmlr.org/papers/v19/17-291.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/CarriereMO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CelisseM18,
author = {Alain Celisse and
Tristan Mary{-}Huard},
title = {Theoretical Analysis of Cross-Validation for Estimating the Risk of
the {\textdollar}k{\textdollar}-Nearest Neighbor Classifier},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {58:1--58:54},
year = {2018},
url = {http://jmlr.org/papers/v19/15-498.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/CelisseM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenDWY18,
author = {Yuansi Chen and
Raaz Dwivedi and
Martin J. Wainwright and
Bin Yu},
title = {Fast {MCMC} Sampling Algorithms on Polytopes},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {55:1--55:86},
year = {2018},
url = {http://jmlr.org/papers/v19/18-158.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ChenDWY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenP18,
author = {Ruidi Chen and
Ioannis Ch. Paschalidis},
title = {A Robust Learning Approach for Regression Models Based on Distributionally
Robust Optimization},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {13:1--13:48},
year = {2018},
url = {http://jmlr.org/papers/v19/17-295.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ChenP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChenRZZ18,
author = {Chen Chen and
Min Ren and
Min Zhang and
Dabao Zhang},
title = {A Two-Stage Penalized Least Squares Method for Constructing Large
Systems of Structural Equations},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {2:1--2:34},
year = {2018},
url = {http://jmlr.org/papers/v19/16-225.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ChenRZZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ChiangDH18,
author = {Kai{-}Yang Chiang and
Inderjit S. Dhillon and
Cho{-}Jui Hsieh},
title = {Using Side Information to Reliably Learn Low-Rank Matrices from Missing
and Corrupted Observations},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {76:1--76:35},
year = {2018},
url = {http://jmlr.org/papers/v19/17-112.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ChiangDH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/CsibaR18,
author = {Dominik Csiba and
Peter Richt{\'{a}}rik},
title = {Importance Sampling for Minibatches},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {27:1--27:21},
year = {2018},
url = {http://jmlr.org/papers/v19/16-241.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/CsibaR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DaiWAHW18,
author = {Bin Dai and
Yu Wang and
John A. D. Aston and
Gang Hua and
David P. Wipf},
title = {Connections with Robust {PCA} and the Role of Emergent Sparsity in
Variational Autoencoder Models},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {41:1--41:42},
year = {2018},
url = {http://jmlr.org/papers/v19/17-704.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/DaiWAHW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DasK18,
author = {Abhimanyu Das and
David Kempe},
title = {Approximate Submodularity and its Applications: Subset Selection,
Sparse Approximation and Dictionary Selection},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {3:1--3:34},
year = {2018},
url = {http://jmlr.org/papers/v19/16-534.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/DasK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DerezinskiW18,
author = {Michal Derezinski and
Manfred K. Warmuth},
title = {Reverse Iterative Volume Sampling for Linear Regression},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {23:1--23:39},
year = {2018},
url = {http://jmlr.org/papers/v19/17-781.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/DerezinskiW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DesseinPR18,
author = {Arnaud Dessein and
Nicolas Papadakis and
Jean{-}Luc Rouas},
title = {Regularized Optimal Transport and the Rot Mover's Distance},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {15:1--15:53},
year = {2018},
url = {http://jmlr.org/papers/v19/17-361.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/DesseinPR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DonnerO18,
author = {Christian Donner and
Manfred Opper},
title = {Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {67:1--67:34},
year = {2018},
url = {http://jmlr.org/papers/v19/17-759.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/DonnerO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DuanJD18,
author = {Leo L. Duan and
James E. Johndrow and
David B. Dunson},
title = {Scaling up Data Augmentation {MCMC} via Calibration},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {64:1--64:34},
year = {2018},
url = {http://jmlr.org/papers/v19/17-573.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/DuanJD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DunlopGST18,
author = {Matthew M. Dunlop and
Mark A. Girolami and
Andrew M. Stuart and
Aretha L. Teckentrup},
title = {How Deep Are Deep Gaussian Processes?},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {54:1--54:46},
year = {2018},
url = {http://jmlr.org/papers/v19/18-015.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/DunlopGST18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/DurandMP18,
author = {Audrey Durand and
Odalric{-}Ambrym Maillard and
Joelle Pineau},
title = {Streaming kernel regression with provably adaptive mean, variance,
and regularization},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {17:1--17:34},
year = {2018},
url = {http://jmlr.org/papers/v19/17-404.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/DurandMP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/FangXY18,
author = {Yixin Fang and
Jinfeng Xu and
Lei Yang},
title = {Online Bootstrap Confidence Intervals for the Stochastic Gradient
Descent Estimator},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {78:1--78:21},
year = {2018},
url = {http://jmlr.org/papers/v19/17-370.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/FangXY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Gao18,
author = {Chao Gao},
title = {Goodness-of-Fit Tests for Random Partitions via Symmetric Polynomials},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {33:1--33:50},
year = {2018},
url = {http://jmlr.org/papers/v19/17-624.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Gao18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Geer18,
author = {Sara A. van de Geer},
title = {On Tight Bounds for the Lasso},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {46:1--46:48},
year = {2018},
url = {http://jmlr.org/papers/v19/17-025.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Geer18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GiordanoBJ18,
author = {Ryan Giordano and
Tamara Broderick and
Michael I. Jordan},
title = {Covariances, Robustness, and Variational Bayes},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {51:1--51:49},
year = {2018},
url = {http://jmlr.org/papers/v19/17-670.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/GiordanoBJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GrigoryevaO18,
author = {Lyudmila Grigoryeva and
Juan{-}Pablo Ortega},
title = {Universal discrete-time reservoir computers with stochastic inputs
and linear readouts using non-homogeneous state-affine systems},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {24:1--24:40},
year = {2018},
url = {http://jmlr.org/papers/v19/18-020.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/GrigoryevaO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/GuoWOHZWZ18,
author = {Weili Guo and
Haikun Wei and
Yew{-}Soon Ong and
Jaime Rubio Hervas and
Junsheng Zhao and
Hai Wang and
Kanjian Zhang},
title = {Numerical Analysis near Singularities in {RBF} Networks},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {1:1--1:39},
year = {2018},
url = {http://jmlr.org/papers/v19/16-210.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/GuoWOHZWZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HangSFS18,
author = {Hanyuan Hang and
Ingo Steinwart and
Yunlong Feng and
Johan A. K. Suykens},
title = {Kernel Density Estimation for Dynamical Systems},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {35:1--35:49},
year = {2018},
url = {http://jmlr.org/papers/v19/16-349.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/HangSFS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HardtMR18,
author = {Moritz Hardt and
Tengyu Ma and
Benjamin Recht},
title = {Gradient Descent Learns Linear Dynamical Systems},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {29:1--29:44},
year = {2018},
url = {http://jmlr.org/papers/v19/16-465.html},
timestamp = {Sun, 08 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/HardtMR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/HuangJLL18,
author = {Jian Huang and
Yuling Jiao and
Yanyan Liu and
Xiliang Lu},
title = {A Constructive Approach to {\textdollar}L{\_}0{\textdollar} Penalized
Regression},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {10:1--10:37},
year = {2018},
url = {http://jmlr.org/papers/v19/17-194.html},
timestamp = {Wed, 13 Nov 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jmlr/HuangJLL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JiangWL18,
author = {Binyan Jiang and
Xiangyu Wang and
Chenlei Leng},
title = {A Direct Approach for Sparse Quadratic Discriminant Analysis},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {31:1--31:37},
year = {2018},
url = {http://jmlr.org/papers/v19/17-285.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/JiangWL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/JimenezS18,
author = {{\'{A}}lvaro Barbero Jim{\'{e}}nez and
Suvrit Sra},
title = {Modular Proximal Optimization for Multidimensional Total-Variation
Regularization},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {56:1--56:82},
year = {2018},
url = {http://jmlr.org/papers/v19/13-538.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/JimenezS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KailkhuraTRVB18,
author = {Bhavya Kailkhura and
Jayaraman J. Thiagarajan and
Charvi Rastogi and
Pramod K. Varshney and
Peer{-}Timo Bremer},
title = {A Spectral Approach for the Design of Experiments: Design, Analysis
and Algorithms},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {34:1--34:46},
year = {2018},
url = {http://jmlr.org/papers/v19/17-735.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/KailkhuraTRVB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KarouiP18,
author = {Noureddine El Karoui and
Elizabeth Purdom},
title = {Can We Trust the Bootstrap in High-dimensions? The Case of Linear
Models},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {5:1--5:66},
year = {2018},
url = {http://jmlr.org/papers/v19/17-006.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/KarouiP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KhetanO18,
author = {Ashish Khetan and
Sewoong Oh},
title = {Generalized Rank-Breaking: Computational and Statistical Tradeoffs},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {28:1--28:42},
year = {2018},
url = {http://jmlr.org/papers/v19/16-412.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/KhetanO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/KummerleS18,
author = {Christian K{\"{u}}mmerle and
Juliane Sigl},
title = {Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix
Recovery},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {47:1--47:49},
year = {2018},
url = {http://jmlr.org/papers/v19/17-244.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/KummerleS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LaiYFW18,
author = {Zhao{-}Rong Lai and
Pei{-}Yi Yang and
Liangda Fang and
Xiaotian Wu},
title = {Short-term Sparse Portfolio Optimization Based on Alternating Direction
Method of Multipliers},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {63:1--63:28},
year = {2018},
url = {http://jmlr.org/papers/v19/17-558.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/LaiYFW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LamprierGG18,
author = {Sylvain Lamprier and
Thibault Gisselbrecht and
Patrick Gallinari},
title = {Profile-Based Bandit with Unknown Profiles},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {53:1--53:40},
year = {2018},
url = {http://jmlr.org/papers/v19/17-693.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/LamprierGG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Lattimore18,
author = {Tor Lattimore},
title = {Refining the Confidence Level for Optimistic Bandit Strategies},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {20:1--20:32},
year = {2018},
url = {http://jmlr.org/papers/v19/17-513.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Lattimore18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LeblondPL18,
author = {R{\'{e}}mi Leblond and
Fabian Pedregosa and
Simon Lacoste{-}Julien},
title = {Improved Asynchronous Parallel Optimization Analysis for Stochastic
Incremental Methods},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {81:1--81:68},
year = {2018},
url = {http://jmlr.org/papers/v19/17-650.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/LeblondPL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Lehericy18,
author = {Luc Leh{\'{e}}ricy},
title = {State-by-state Minimax Adaptive Estimation for Nonparametric Hidden
Markov Models},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {39:1--39:46},
year = {2018},
url = {http://jmlr.org/papers/v19/17-345.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Lehericy18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LintusaariVKSJM18,
author = {Jarno Lintusaari and
Henri Vuollekoski and
Antti Kangasr{\"{a}}{\"{a}}si{\"{o}} and
Kusti Skyt{\'{e}}n and
Marko J{\"{a}}rvenp{\"{a}}{\"{a}} and
Pekka Marttinen and
Michael U. Gutmann and
Aki Vehtari and
Jukka Corander and
Samuel Kaski},
title = {{ELFI:} Engine for Likelihood-Free Inference},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {16:1--16:7},
year = {2018},
url = {http://jmlr.org/papers/v19/17-374.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/LintusaariVKSJM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/LiuL18,
author = {Xu{-}Qing Liu and
Xin{-}sheng Liu},
title = {Markov Blanket and Markov Boundary of Multiple Variables},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {43:1--43:50},
year = {2018},
url = {http://jmlr.org/papers/v19/14-033.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/LiuL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MahajanAKSB18,
author = {Dhruv Mahajan and
Nikunj Agrawal and
S. Sathiya Keerthi and
Sundararajan Sellamanickam and
L{\'{e}}on Bottou},
title = {An efficient distributed learning algorithm based on effective local
functional approximations},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {74:1--74:37},
year = {2018},
url = {http://jmlr.org/papers/v19/15-020.html},
timestamp = {Mon, 28 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/MahajanAKSB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Mai18,
author = {Xiaoyi Mai},
title = {A Random Matrix Analysis and Improvement of Semi-Supervised Learning
for Large Dimensional Data},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {79:1--79:27},
year = {2018},
url = {http://jmlr.org/papers/v19/17-421.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Mai18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MiasojedowR18,
author = {Blazej Miasojedow and
Wojciech Rejchel},
title = {Sparse Estimation in Ising Model via Penalized Monte Carlo Methods},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {75:1--75:26},
year = {2018},
url = {http://jmlr.org/papers/v19/16-554.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/MiasojedowR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MontielRBA18,
author = {Jacob Montiel and
Jesse Read and
Albert Bifet and
Talel Abdessalem},
title = {Scikit-Multiflow: {A} Multi-output Streaming Framework},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {72:1--72:5},
year = {2018},
url = {http://jmlr.org/papers/v19/18-251.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/MontielRBA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MuckeB18,
author = {Nicole M{\"{u}}cke and
Gilles Blanchard},
title = {Parallelizing Spectrally Regularized Kernel Algorithms},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {30:1--30:29},
year = {2018},
url = {http://jmlr.org/papers/v19/16-569.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/MuckeB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NeedellSW18,
author = {Deanna Needell and
Rayan Saab and
Tina Woolf},
title = {Simple Classification Using Binary Data},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {61:1--61:30},
year = {2018},
url = {http://jmlr.org/papers/v19/17-383.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/NeedellSW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/NegahbanOTX18,
author = {Sahand Negahban and
Sewoong Oh and
Kiran Koshy Thekumparampil and
Jiaming Xu},
title = {Learning from Comparisons and Choices},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {40:1--40:95},
year = {2018},
url = {http://jmlr.org/papers/v19/17-607.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/NegahbanOTX18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ObuchiK18,
author = {Tomoyuki Obuchi and
Yoshiyuki Kabashima},
title = {Accelerating Cross-Validation in Multinomial Logistic Regression with
{\textdollar}{\textbackslash}ell{\_}1{\textdollar}-Regularization},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {52:1--52:30},
year = {2018},
url = {http://jmlr.org/papers/v19/17-684.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ObuchiK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/OliveiraAD18,
author = {Ivo F. D. Oliveira and
Nir Ailon and
Ori Davidov},
title = {A New and Flexible Approach to the Analysis of Paired Comparison Data},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {60:1--60:29},
year = {2018},
url = {http://jmlr.org/papers/v19/17-179.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/OliveiraAD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ParkA18,
author = {Chiwoo Park and
Daniel W. Apley},
title = {Patchwork Kriging for Large-scale Gaussian Process Regression},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {7:1--7:43},
year = {2018},
url = {http://jmlr.org/papers/v19/17-042.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ParkA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/QiuJN18,
author = {Jinwen Qiu and
S. Rao Jammalamadaka and
Ning Ning},
title = {Multivariate Bayesian Structural Time Series Model},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {68:1--68:33},
year = {2018},
url = {http://jmlr.org/papers/v19/18-009.html},
timestamp = {Mon, 10 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/QiuJN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Raissi18,
author = {Maziar Raissi},
title = {Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential
Equations},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {25:1--25:24},
year = {2018},
url = {http://jmlr.org/papers/v19/18-046.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Raissi18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RavivHO18,
author = {Dolev Raviv and
Tamir Hazan and
Margarita Osadchy},
title = {Hinge-Minimax Learner for the Ensemble of Hyperplanes},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {62:1--62:30},
year = {2018},
url = {http://jmlr.org/papers/v19/17-402.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/RavivHO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RoheTHB18,
author = {Karl Rohe and
Jun Tao and
Xintian Han and
Norbert Binkiewicz},
title = {A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {77:1--77:13},
year = {2018},
url = {http://jmlr.org/papers/v19/17-128.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/RoheTHB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Rojas-CarullaST18,
author = {Mateo Rojas{-}Carulla and
Bernhard Sch{\"{o}}lkopf and
Richard E. Turner and
Jonas Peters},
title = {Invariant Models for Causal Transfer Learning},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {36:1--36:34},
year = {2018},
url = {http://jmlr.org/papers/v19/16-432.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Rojas-CarullaST18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/RonanAQTSN18,
author = {Tom Ronan and
Shawn Anastasio and
Zhijie Qi and
Pedro Henrique S. Vieira Tavares and
Roman Sloutsky and
Kristen M. Naegle},
title = {OpenEnsembles: {A} Python Resource for Ensemble Clustering},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {26:1--26:6},
year = {2018},
url = {http://jmlr.org/papers/v19/18-100.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/RonanAQTSN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ShahTMGL18,
author = {Nihar B. Shah and
Behzad Tabibian and
Krikamol Muandet and
Isabelle Guyon and
Ulrike von Luxburg},
title = {Design and Analysis of the {NIPS} 2016 Review Process},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {49:1--49:34},
year = {2018},
url = {http://jmlr.org/papers/v19/17-511.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ShahTMGL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Shamir18,
author = {Ohad Shamir},
title = {Distribution-Specific Hardness of Learning Neural Networks},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {32:1--32:29},
year = {2018},
url = {http://jmlr.org/papers/v19/17-537.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Shamir18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/Simon-GabrielS18,
author = {Carl{-}Johann Simon{-}Gabriel and
Bernhard Sch{\"{o}}lkopf},
title = {Kernel Distribution Embeddings: Universal Kernels, Characteristic
Kernels and Kernel Metrics on Distributions},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {44:1--44:29},
year = {2018},
url = {http://jmlr.org/papers/v19/16-291.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/Simon-GabrielS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SosicRPZK18,
author = {Adrian Sosic and
Elmar Rueckert and
Jan Peters and
Abdelhak M. Zoubir and
Heinz Koeppl},
title = {Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal
Modeling},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {69:1--69:45},
year = {2018},
url = {http://jmlr.org/papers/v19/18-113.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/SosicRPZK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SoudryHNGS18,
author = {Daniel Soudry and
Elad Hoffer and
Mor Shpigel Nacson and
Suriya Gunasekar and
Nathan Srebro},
title = {The Implicit Bias of Gradient Descent on Separable Data},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {70:1--70:57},
year = {2018},
url = {http://jmlr.org/papers/v19/18-188.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/SoudryHNGS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SpantiniBM18,
author = {Alessio Spantini and
Daniele Bigoni and
Youssef M. Marzouk},
title = {Inference via Low-Dimensional Couplings},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {66:1--66:71},
year = {2018},
url = {http://jmlr.org/papers/v19/17-747.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/SpantiniBM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/SrivastavaLD18,
author = {Sanvesh Srivastava and
Cheng Li and
David B. Dunson},
title = {Scalable Bayes via Barycenter in Wasserstein Space},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {8:1--8:35},
year = {2018},
url = {http://jmlr.org/papers/v19/17-084.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/SrivastavaLD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TepperSC18,
author = {Mariano Tepper and
Anirvan M. Sengupta and
Dmitri B. Chklovskii},
title = {Clustering is semidefinitely not that hard: Nonnegative {SDP} for
manifold disentangling},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {82:1--82:30},
year = {2018},
url = {http://jmlr.org/papers/v19/18-088.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/TepperSC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ThaneiMS18,
author = {Gian{-}Andrea Thanei and
Nicolai Meinshausen and
Rajen Dinesh Shah},
title = {The xyz algorithm for fast interaction search in high-dimensional
data},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {37:1--37:42},
year = {2018},
url = {http://jmlr.org/papers/v19/16-515.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ThaneiMS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/TsakirisV18,
author = {Manolis C. Tsakiris and
Ren{\'{e}} Vidal},
title = {Dual Principal Component Pursuit},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {18:1--18:50},
year = {2018},
url = {http://jmlr.org/papers/v19/17-436.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/TsakirisV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/WenSLHC18,
author = {Zeyi Wen and
Jiashuai Shi and
Qinbin Li and
Bingsheng He and
Jian Chen},
title = {ThunderSVM: {A} Fast {SVM} Library on GPUs and CPUs},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {21:1--21:5},
year = {2018},
url = {http://jmlr.org/papers/v19/17-740.html},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jmlr/WenSLHC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangL18,
author = {Tianbao Yang and
Qihang Lin},
title = {{RSG:} Beating Subgradient Method without Smoothness and Strong Convexity},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {6:1--6:33},
year = {2018},
url = {http://jmlr.org/papers/v19/17-016.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/YangL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YangNL18,
author = {Zhuoran Yang and
Yang Ning and
Han Liu},
title = {On Semiparametric Exponential Family Graphical Models},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {57:1--57:59},
year = {2018},
url = {http://jmlr.org/papers/v19/15-493.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/YangNL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YousefiLKMA18,
author = {Niloofar Yousefi and
Yunwen Lei and
Marius Kloft and
Mansooreh Mollaghasemi and
Georgios C. Anagnostopoulos},
title = {Local Rademacher Complexity-based Learning Guarantees for Multi-Task
Learning},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {38:1--38:47},
year = {2018},
url = {http://jmlr.org/papers/v19/17-144.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/YousefiLKMA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/YuMS18,
author = {Huizhen Yu and
Ashique Rupam Mahmood and
Richard S. Sutton},
title = {On Generalized Bellman Equations and Temporal-Difference Learning},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {48:1--48:49},
year = {2018},
url = {http://jmlr.org/papers/v19/17-283.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/YuMS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhangY18,
author = {Teng Zhang and
Yi Yang},
title = {Robust {PCA} by Manifold Optimization},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {80:1--80:39},
year = {2018},
url = {http://jmlr.org/papers/v19/17-473.html},
timestamp = {Wed, 10 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ZhangY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhengAB18,
author = {Charles Y. Zheng and
Rakesh Achanta and
Yuval Benjamini},
title = {Extrapolating Expected Accuracies for Large Multi-Class Problems},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {65:1--65:30},
year = {2018},
url = {http://jmlr.org/papers/v19/17-701.html},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jmlr/ZhengAB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/ZhouLYDX18,
author = {Yi Zhou and
Yingbin Liang and
Yaoliang Yu and
Wei Dai and
Eric P. Xing},
title = {Distributed Proximal Gradient Algorithm for Partially Asynchronous
Computer Clusters},
journal = {J. Mach. Learn. Res.},
volume = {19},
pages = {19:1--19:32},
year = {2018},
url = {http://jmlr.org/papers/v19/17-444.html},
timestamp = {Mon, 16 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/jmlr/ZhouLYDX18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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