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Journal of Machine Learning Research (JMLR)

Short Title: J. Mach. Learn. Res.
Publisher: Microtome Publishing, Brookline, MA
ISSN: 1532-4435; 1533-7928/e
Online: http://jmlr.csail.mit.edu/papers/
Comments: Indexed cover-to-cover; This journal is available open access.
Documents Indexed: 2,390 Publications (since 2001)
References Indexed: 720 Publications with 40,083 References.
all top 5

Authors

25 Bach, Francis R.
25 Jordan, Michael Irwin
23 Wainwright, Martin J.
18 Lin, Chih-Jen
18 Schölkopf, Bernhard
18 Zhang, Tong
17 Shalev-Shwartz, Shai
16 Müller, Klaus-Robert
15 Liu, Han
14 Dunson, David Brian
14 Rudin, Cynthia
13 Singer, Yoram
13 Smola, Alexander J.
13 Sugiyama, Masashi
13 Zhou, Dingxuan
12 Bengio, Yoshua
12 Mahoney, Michael W.
12 Williamson, Robert C.
12 Xing, Eric P.
12 Yu, Bin
11 Bartlett, Peter L.
11 Dhillon, Inderjit S.
10 Fukumizu, Kenji
10 Gretton, Arthur
10 Hsieh, Cho-Jui
10 Maggioni, Mauro
10 Mannor, Shie
10 Pontil, Massimiliano
10 Steinwart, Ingo
10 Tishby, Naftali
10 Warmuth, Manfred K.
10 Wasserman, Larry Alan
10 Ye, Jieping
10 Zhang, Zhihua
9 Anandkumar, Animashree
9 Blei, David M.
9 Bühlmann, Peter
9 Hyvärinen, Aapo
9 Krause, Andreas
9 Long, Philip M.
9 Munos, Rémi
9 Sabato, Sivan
9 Shamir, Ohad
9 Shawe-Taylor, John
9 Shen, Xiaotong
9 Suykens, Johan A. K.
9 Tewari, Ambuj
8 Blanchard, Gilles
8 Bottou, Léon
8 Crammer, Koby
8 El-Yaniv, Ran
8 Gentile, Claudio
8 Ghahramani, Zoubin
8 Gupta, Maya R.
8 Hastie, Trevor John
8 Rosasco, Lorenzo A.
8 Teh, Yee Whye
7 Bubeck, Sébastien
7 Fern, Alan P.
7 Gaïffas, Stéphane
7 Gao, Chao
7 Ghavamzadeh, Mohammad
7 Hsu, Daniel
7 Kakade, Sham M.
7 Langford, John
7 Larochelle, Hugo
7 Lebanon, Guy
7 Mairal, Julien
7 Michailidis, George C.
7 Mohri, Mehryar
7 Mukherjee, Sayan
7 Neumann, Gerhard
7 Peters, Jan
7 Raskutti, Garvesh
7 Schapire, Robert E.
7 Servedio, Rocco A.
7 Sriperumbudur, Bharath K.
7 Tsang, Ivor Wai-Hung
7 Vehtari, Aki
7 von Luxburg, Ulrike
7 Vovk, Vladimir G.
7 Wang, Shusen
7 Willsky, Alan Steven
7 Wu, Qiang
6 Bhattacharyya, Chiranjib
6 Biau, Gérard
6 Bousquet, Olivier
6 Cesa-Bianchi, Nicolò
6 Duchi, John C.
6 Gomez-Rodriguez, Manuel
6 Gramfort, Alexandre
6 Hazan, Elad
6 Hoyer, Patrik O.
6 Kolar, Mladen
6 Lanckriet, Gert R. G.
6 Lawrence, Neil D.
6 Lin, Qihang
6 Lugosi, Gábor
6 Marchand, Mario
6 Meinshausen, Nicolai
...and 4,374 more Authors

Publications by Year

Citations contained in zbMATH Open

1,667 Publications have been cited 19,011 times in 10,640 Documents Cited by Year
On model selection consistency of Lasso. Zbl 1222.62008
Zhao, Peng; Yu, Bin
395
2006
Statistical comparisons of classifiers over multiple data sets. Zbl 1222.68184
Demšar, Janez
341
2006
An introduction to variable and feature selection. Zbl 1102.68556
Guyon, Isabelle; Elisseeff, André
312
2003
Latent Dirichlet allocation. Zbl 1112.68379
Blei, David M.; Ng, Andrew Y.; Jordan, Michael I.
261
2003
Scikit-learn: machine learning in Python. Zbl 1280.68189
Pedregosa, Fabian; Varoquaux, Gaël; Gramfort, Alexandre; Michel, Vincent; Thirion, Bertrand; Grisel, Olivier; Blondel, Mathieu; Prettenhofer, Peter; Weiss, Ron; Dubourg, Vincent; Vanderplas, Jake; Passos, Alexandre; Cournapeau, David; Brucher, Matthieu; Perrot, Matthieu; Duchesnay, Édouard
241
2011
Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. Zbl 1222.68144
Belkin, Mikhail; Niyogi, Partha; Sindhwani, Vikas
188
2006
Sparse Bayesian learning and the relevance vector machine. Zbl 0997.68109
Tipping, Michael E.
178
2001
Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data. Zbl 1225.68149
Banerjee, Onureena; El Ghaoui, Laurent; d’Aspremont, Alexandre
153
2008
Rademacher and Gaussian complexities: risk bounds and structural results. Zbl 1084.68549
Bartlett, Peter L.; Mendelson, Shahar
145
2003
Dropout: a simple way to prevent neural networks from overfitting. Zbl 1318.68153
Srivastava, Nitish; Hinton, Geoffrey; Krizhevsky, Alex; Sutskever, Ilya; Salakhutdinov, Ruslan
144
2014
Mixed membership stochastic blockmodels. Zbl 1225.68143
Airoldi, Edoardo M.; Blei, David M.; Fienberg, Stephen E.; Xing, Eric P.
141
2008
Cluster ensembles – a knowledge reuse framework for combining multiple partitions. Zbl 1084.68759
Strehl, Alexander; Ghosh, Joydeep
135
2003
Learning the kernel matrix with semidefinite programming. Zbl 1222.68241
Lanckriet, Gert R. G.; Cristianini, Nello; Bartlett, Peter; El Ghaoui, Laurent; Jordan, Michael I.
132
2004
Adaptive subgradient methods for online learning and stochastic optimization. Zbl 1280.68164
Duchi, John; Hazan, Elad; Singer, Yoram
124
2011
Non-negative matrix factorization with sparseness constraints. Zbl 1222.68218
Hoyer, Patrik O.
111
2004
Kernel independent component analysis. Zbl 1088.68689
Bach, Francis R.; Jordan, Michael I.
109
2003
LIBLINEAR: a library for large linear classification. Zbl 1225.68175
Fan, Rong-En; Chang, Kai-Wei; Hsieh, Cho-Jui; Wang, Xiang-Rui; Lin, Chih-Jen
107
2008
Stability and generalization. Zbl 1007.68083
Bousquet, Olivier; Elisseeff, André
105
2002
Confidence intervals and hypothesis testing for high-dimensional regression. Zbl 1319.62145
Javanmard, Adel; Montanari, Andrea
105
2014
A simpler approach to matrix completion. Zbl 1280.68141
Recht, Benjamin
98
2011
Manopt, a Matlab toolbox for optimization on manifolds. Zbl 1319.90003
Boumal, Nicolas; Mishra, Bamdev; Absil, P.-A.; Sepulchre, Rodolphe
96
2014
The no-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Zbl 1319.60150
Hoffman, Matthew D.; Gelman, Andrew
95
2014
Clustering with Bregman divergences. Zbl 1190.62117
Banerjee, Arindam; Merugu, Srujana; Dhillon, Inderjit S.; Ghosh, Joydeep
93
2005
Support vector machine soft margin classifiers: error analysis. Zbl 1222.68167
Chen, Di-Rong; Wu, Qiang; Ying, Yiming; Zhou, Ding-Xuan
93
2004
Visualizing data using t-SNE. Zbl 1225.68219
van der Maaten, Laurens; Hinton, Geoffrey
92
2008
Online learning for matrix factorization and sparse coding. Zbl 1242.62087
Mairal, Julien; Bach, Francis; Ponce, Jean; Sapiro, Guillermo
86
2010
Consistency of the group Lasso and multiple kernel learning. Zbl 1225.68147
Bach, Francis R.
86
2008
Optimal structure identification with greedy search. Zbl 1084.68519
Chickering, David Maxwell
85
2003
On the influence of the kernel on the consistency of support vector machines. Zbl 1009.68143
Steinwart, Ingo
85
2002
On the algorithmic implementation of multiclass kernel-based vector machines. Zbl 1037.68110
Crammer, Koby; Singer, Yoram
83
2002
Think globally, fit locally: unsupervised learning of low dimensional manifolds. Zbl 1093.68089
Saul, Lawrence K.; Roweis, Sam T.
83
2004
Stochastic dual coordinate ascent methods for regularized loss minimization. Zbl 1307.68073
Shalev-Shwartz, Shai; Zhang, Tong
82
2013
Matrix completion from noisy entries. Zbl 1242.62069
Keshavan, Raghunandan H.; Montanari, Andrea; Oh, Sewoong
81
2010
Reducing multiclass to binary: A unifying approach for margin classifiers. Zbl 1013.68175
Allwein, Erin L.; Schapire, Robert E.; Singer, Yoram
79
2001
A kernel two-sample test. Zbl 1283.62095
Gretton, Arthur; Borgwardt, Karsten M.; Rasch, Malte J.; Schölkopf, Bernhard; Smola, Alexander
77
2012
A differential equation for modeling Nesterov’s accelerated gradient method: theory and insights. Zbl 1391.90667
Su, Weijie; Boyd, Stephen; Candès, Emmanuel J.
76
2016
Stochastic variational inference. Zbl 1317.68163
Hoffman, Matthew D.; Blei, David M.; Wang, Chong; Paisley, John
75
2013
Use of the zero-norm with linear models and kernel methods. Zbl 1102.68605
Weston, Jason; Elisseeff, André; Schölkopf, Bernhard; Tipping, Mike
71
2003
Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. Zbl 1242.62024
Watanabe, Sumio
71
2010
High dimensional inverse covariance matrix estimation via linear programming. Zbl 1242.62043
Yuan, Ming
70
2010
Large margin methods for structured and interdependent output variables. Zbl 1222.68321
Tsochantaridis, Ioannis; Joachims, Thorsten; Hofmann, Thomas; Altun, Yasemin
70
2005
Tensor decompositions for learning latent variable models. Zbl 1319.62109
Anandkumar, Animashree; Ge, Rong; Hsu, Daniel; Kakade, Sham M.; Telgarsky, Matus
70
2014
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
69
2010
Analysis of multi-stage convex relaxation for sparse regularization. Zbl 1242.68262
Zhang, Tong
68
2010
Near-optimal sensor placements in Gaussian processes: theory, efficient algorithms and empirical studies. Zbl 1225.68192
Krause, Andreas; Singh, Ajit; Guestrin, Carlos
68
2008
Estimating high-dimensional directed acyclic graphs with the PC-algorithm. Zbl 1222.68229
Kalisch, Markus; Bühlmann, Peter
65
2007
An extension on “Statistical comparisons of classifiers over multiple data sets” for all pairwise comparisons. Zbl 1225.68178
García, Salvador; Herrera, Francisco
64
2008
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
62
2004
An efficient boosting algorithm for combining preferences. Zbl 1098.68652
Freund, Yoav; Iyer, Raj; Schapire, Robert E.; Singer, Yoram
62
2004
Ultrahigh dimensional feature selection: beyond the linear model. Zbl 1235.62089
Fan, Jianqing; Samworth, Richard; Wu, Yichao
61
2009
In defense of one-vs-all classification. Zbl 1222.68287
Rifkin, Ryan; Klautau, Aldebaro
60
2004
Distance metric learning for large margin nearest neighbor classification. Zbl 1235.68204
Weinberger, Kilian Q.; Saul, Lawrence K.
59
2009
Statistical topological data analysis using persistence landscapes. Zbl 1337.68221
Bubenik, Peter
59
2015
Restricted strong convexity and weighted matrix completion: optimal bounds with noise. Zbl 1436.62204
Negahban, Sahand; Wainwright, Martin J.
58
2012
The nonparanormal: semiparametric estimation of high dimensional undirected graphs. Zbl 1235.62035
Liu, Han; Lafferty, John; Wasserman, Larry
58
2009
Learning the kernel function via regularization. Zbl 1222.68265
Micchelli, Charles A.; Pontil, Massimiliano
57
2005
Clustering on the unit hypersphere using von Mises-Fisher distributions. Zbl 1190.62116
Banerjee, Arindam; Dhillon, Inderjit S.; Ghosh, Joydeep; Sra, Suvrit
56
2005
Models of cooperative teaching and learning. Zbl 1280.68224
Zilles, Sandra; Lange, Steffen; Holte, Robert; Zinkevich, Martin
56
2011
Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis. Zbl 1222.68312
Sugiyama, Masashi
56
2007
Efficient online and batch learning using forward backward splitting. Zbl 1235.62151
Duchi, John; Singer, Yoram
56
2009
Least-squares policy iteration. Zbl 1094.68080
Lagoudakis, Michail G.; Parr, Ronald
56
2004
Nonparametric quantile estimation. Zbl 1222.68316
Takeuchi, Ichiro; Le, Quoc V.; Sears, Timothy D.; Smola, Alexander J.
55
2006
Restricted eigenvalue properties for correlated Gaussian designs. Zbl 1242.62071
Raskutti, Garvesh; Wainwright, Martin J.; Yu, Bin
54
2010
Universal kernels. Zbl 1222.68266
Micchelli, Charles A.; Xu, Yuesheng; Zhang, Haizhang
54
2006
Generalized power method for sparse principal component analysis. Zbl 1242.62048
Journée, Michel; Nesterov, Yurii; Richtárik, Peter; Sepulchre, Rodolphe
53
2010
Working set selection using second order information for training support vector machines. Zbl 1222.68198
Fan, Rong-En; Chen, Pai-Hsuen; Lin, Chih-Jen
53
2005
A unifying view of sparse approximate Gaussian process regression. Zbl 1222.68282
Quiñonero-Candela, Joaquin; Rasmussen, Carl Edward
53
2005
Random search for hyper-parameter optimization. Zbl 1283.68282
Bergstra, James; Bengio, Yoshua
52
2012
Large scale multiple kernel learning. Zbl 1222.90072
Sonnenburg, Sören; Rätsch, Gunnar; Schäfer, Christin; Schölkopf, Bernhard
51
2006
Learning equivalence classes of Bayesian-network structures. Zbl 1007.68179
Chickering, David Maxwell
50
2002
Quantile regression forests. Zbl 1222.68262
Meinshausen, Nicolai
49
2006
Regularized \(M\)-estimators with nonconvexity: statistical and algorithmic theory for local optima. Zbl 1360.62276
Loh, Po-Ling; Wainwright, Martin J.
49
2015
Efficient SVM training using low-rank kernel representations. Zbl 1037.68112
Fine, Shai; Scheinberg, Katya
48
2002
Hilbert space embeddings and metrics on probability measures. Zbl 1242.60005
Sriperumbudur, Bharath K.; Gretton, Arthur; Fukumizu, Kenji; Schölkopf, Bernhard; Lanckriet, Gert R. G.
48
2010
An interior-point method for large-scale \(l_1\)-regularized logistic regression. Zbl 1222.62092
Koh, Kwangmoo; Kim, Seung-Jean; Boyd, Stephen
48
2007
Dual averaging methods for regularized stochastic learning and online optimization. Zbl 1242.62011
Xiao, Lin
46
2010
Efficient feature selection via analysis of relevance and redundancy. Zbl 1222.68340
Yu, Lei; Liu, Huan
46
2004
Penalized model-based clustering with application to variable selection. Zbl 1222.68279
Pan, Wei; Shen, Xiaotong
46
2007
Probability estimates for multi-class classification by pairwise coupling. Zbl 1222.68336
Wu, Ting-Fan; Lin, Chih-Jen; Weng, Ruby C.
45
2004
Core vector machines: fast SVM training on very large data sets. Zbl 1222.68320
Tsang, Ivor W.; Kwok, James T.; Cheung, Pak-Ming
45
2005
On the Nyström method for approximating a gram matrix for improved kernel-based learning. Zbl 1222.68186
Drineas, Petros; Mahoney, Michael W.
45
2005
Consistency of random forests and other averaging classifiers. Zbl 1225.62081
Biau, Gérard; Devroye, Luc; Lugosi, Gábor
45
2008
A robust minimax approach to classification. Zbl 1084.68657
Lanckriet, Gert R. G.; El Ghaoui, Laurent; Bhattacharyya, Chiranjib; Jordan, Michael I.
45
2003
Support vector clustering. Zbl 1002.68598
Ben-Hur, Asa; Horn, David; Siegelmann, Hava T.; Vapnik, Vladimir
44
2002
Kronecker graphs: an approach to modeling networks. Zbl 1242.05256
Leskovec, Jure; Chakrabarti, Deepayan; Kleinberg, Jon; Faloutsos, Christos; Ghahramani, Zoubin
44
2010
Online passive-aggressive algorithms. Zbl 1222.68177
Crammer, Koby; Dekel, Ofer; Keshet, Joseph; Shalev-Shwartz, Shai; Singer, Yoram
44
2006
On learning with integral operators. Zbl 1242.62059
Rosasco, Lorenzo; Belkin, Mikhail; De Vito, Ernesto
43
2010
A linear non-Gaussian acyclic model for causal discovery. Zbl 1222.68304
Shimizu, Shohei; Hoyer, Patrik O.; Hyvärinen, Aapo; Kerminen, Antti
43
2006
Multiple kernel learning algorithms. Zbl 1280.68167
Gönen, Mehmet; Alpaydın, Ethem
42
2011
Iterative reweighted algorithms for matrix rank minimization. Zbl 1436.65055
Mohan, Karthik; Fazel, Maryam
42
2012
Statistical consistency of kernel canonical correlation analysis. Zbl 1222.62063
Fukumizu, Kenji; Bach, Francis R.; Gretton, Arthur
42
2007
Divide and conquer kernel ridge regression: a distributed algorithm with minimax optimal rates. Zbl 1351.62142
Zhang, Yuchen; Duchi, John; Wainwright, Martin
42
2015
Proximal methods for hierarchical sparse coding. Zbl 1280.94029
Jenatton, Rodolphe; Mairal, Julien; Obozinski, Guillaume; Bach, Francis
41
2011
Learning multiple tasks with kernel methods. Zbl 1222.68197
Evgeniou, Theodoros; Micchelli, Charles A.; Pontil, Massimiliano
41
2005
Rate minimaxity of the Lasso and Dantzig selector for the \(l_{q}\) loss in \(l_{r}\) balls. Zbl 1242.62074
Ye, Fei; Zhang, Cun-Hui
40
2010
CVXPY: a Python-embedded modeling language for convex optimization. Zbl 1360.90008
Diamond, Steven; Boyd, Stephen
40
2016
Structured variable selection with sparsity-inducing norms. Zbl 1280.68170
Jenatton, Rodolphe; Audibert, Jean-Yves; Bach, Francis
39
2011
On the rate of convergence of regularized boosting classifiers. Zbl 1083.68109
Blanchard, Gilles; Lugosi, Gábor; Vayatis, Nicolas
39
2004
Stochastic methods for \(\ell_{1}\)-regularized loss minimization. Zbl 1280.62081
Shalev-Shwartz, Shai; Tewari, Ambuj
38
2011
A nonparametric statistical approach to clustering via mode identification. Zbl 1222.62076
Li, Jia; Ray, Surajit; Lindsay, Bruce G.
38
2007
Aggregated hold-out. Zbl 07370537
Maillard, Guillaume; Arlot, Sylvain; Lerasle, Matthieu
1
2021
giotto-tda: a topological data analysis toolkit for machine learning and data exploration. Zbl 07370556
Tauzin, Guillaume; Lupo, Umberto; Tunstall, Lewis; Pérez, Julian Burella; Caorsi, Matteo; Medina-Mardones, Anibal M.; Dassatti, Alberto; Hess, Kathryn
1
2021
Sparse and smooth signal estimation: convexification of \(\ell_0\)-formulations. Zbl 07370569
Atamturk, Alper; Gomez, Andres; Han, Shaoning
1
2021
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms. Zbl 07370593
Celisse, Alain; Wahl, Martin
1
2021
Flexible signal denoising via flexible empirical Bayes shrinkage. Zbl 07370610
Xing, Zhengrong; Carbonetto, Peter; Stephens, Matthew
1
2021
A statistical learning approach to modal regression. Zbl 07255033
Feng, Yunlong; Fan, Jun; Suykens, Johan A. K.
3
2020
Path-based spectral clustering: guarantees, robustness to outliers, and fast algorithms. Zbl 07255037
Little, Anna; Maggioni, Mauro; Murphy, James M.
3
2020
Stochastic conditional gradient methods: from convex minimization to submodular maximization. Zbl 07255136
Mokhtari, Aryan; Hassani, Hamed; Karbasi, Amin
3
2020
Estimate sequences for stochastic composite optimization: variance reduction, acceleration, and robustness to noise. Zbl 07306860
Kulunchakov, Andrei; Mairal, Julien
3
2020
Adaptive approximation and generalization of deep neural network with intrinsic dimensionality. Zbl 07306873
Nakada, Ryumei; Imaizumi, Masaaki
3
2020
Convergences of regularized algorithms and stochastic gradient methods with random projections. Zbl 07255051
Lin, Junhong; Cevher, Volkan
2
2020
Dynamical systems as temporal feature spaces. Zbl 07255075
Tino, Peter
2
2020
Generalized optimal matching methods for causal inference. Zbl 07255093
Kallus, Nathan
2
2020
Scalable approximate MCMC algorithms for the horseshoe prior. Zbl 07255104
Johndrow, James; Orenstein, Paulo; Bhattacharya, Anirban
2
2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: benefits of multi-step gradients. Zbl 07255123
Chen, Yuansi; Dwivedi, Raaz; Wainwright, Martin J.; Yu, Bin
2
2020
Change point estimation in a dynamic stochastic block model. Zbl 07255138
Bhattacharjee, Monika; Banerjee, Moulinath; Michailidis, George
2
2020
ProxSARAH: an efficient algorithmic framework for stochastic composite nonconvex optimization. Zbl 07255141
Pham, Nhan H.; Nguyen, Lam M.; Phan, Dzung T.; Tran-Dinh, Quoc
2
2020
Provable convex co-clustering of tensors. Zbl 07306902
Chi, Eric C.; Gaines, Brian J.; Sun, Will Wei; Zhou, Hua; Yang, Jian
2
2020
Universal latent space model fitting for large networks with edge covariates. Zbl 07255035
Ma, Zhuang; Ma, Zongming; Yuan, Hongsong
1
2020
Lower bounds for parallel and randomized convex optimization. Zbl 07255036
Diakonikolas, Jelena; Guzmán, Cristóbal
1
2020
Online sufficient dimension reduction through sliced inverse regression. Zbl 07255041
Cai, Zhanrui; Li, Runze; Zhu, Liping
1
2020
On \(\ell_p\)-support vector machines and multidimensional kernels. Zbl 07255045
Blanco, Victor; Puerto, Justo; Rodriguez-Chia, Antonio M.
1
2020
Perturbation bounds for procrustes, classical scaling, and trilateration, with applications to manifold learning. Zbl 07255046
Arias-Castro, Ery; Javanmard, Adel; Pelletier, Bruno
1
2020
Practical locally private heavy hitters. Zbl 07255047
Bassily, Raef; Nissim, Kobbi; Stemmer, Uri; Thakurta, Abhradeep
1
2020
GluonCV and GluonNLP: deep learning in computer vision and natural language processing. Zbl 07255054
Guo, Jian; He, He; He, Tong; Lausen, Leonard; Li, Mu; Lin, Haibin; Shi, Xingjian; Wang, Chenguang; Xie, Junyuan; Zha, Sheng; Zhang, Aston; Zhang, Hang; Zhang, Zhi; Zhang, Zhongyue; Zheng, Shuai; Zhu, Yi
1
2020
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models. Zbl 07255056
Bezáková, Ivona; Blanca, Antonio; Chen, Zongchen; Štefankovič, Daniel; Vigoda, Eric
1
2020
Targeted fused ridge estimation of inverse covariance matrices from multiple high-dimensional data classes. Zbl 07255057
Bilgrau, Anders Ellern; Peeters, Carel F. W.; Eriksen, Poul Svante; Boegsted, Martin; van Wieringen, Wessel N.
1
2020
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms. Zbl 07255059
Trillos, Nicolas Garcia; Kaplan, Zachary; Samakhoana, Thabo; Sanz-Alonso, Daniel
1
2020
The maximum separation subspace in sufficient dimension reduction with categorical response. Zbl 07255060
Zhang, Xin; Mai, Qing; Zou, Hui
1
2020
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping. Zbl 07255063
Cucuringu, Mihai; Tyagi, Hemant
1
2020
Learning linear non-Gaussian causal models in the presence of latent variables. Zbl 07255070
Salehkaleybar, Saber; Ghassami, Amiremad; Kiyavash, Negar; Zhang, Kun
1
2020
Optimal bipartite network clustering. Zbl 07255071
Zhou, Zhixin; Amini, Arash A.
1
2020
Switching regression models and causal inference in the presence of discrete latent variables. Zbl 07255072
Christiansen, Rune; Peters, Jonas
1
2020
Branch and bound for piecewise linear neural network verification. Zbl 07255073
Bunel, Rudy; Turkaslan, Ilker; Torr, Philip H. S.; Kumar, M. Pawan; Lu, Jingyue; Kohli, Pushmeet
1
2020
A convex parametrization of a new class of universal kernel functions. Zbl 07255076
Colbert, Brendon K.; Peet, Matthew M.
1
2020
Ancestral Gumbel-top-\(k\) sampling for sampling without replacement. Zbl 07255078
Kool, Wouter; van Hoof, Herke; Welling, Max
1
2020
Expected policy gradients for reinforcement learning. Zbl 07255083
Ciosek, Kamil; Whiteson, Shimon
1
2020
Robust asynchronous stochastic gradient-push: asymptotically optimal and network-independent performance for strongly convex functions. Zbl 07255089
Spiridonoff, Artin; Olshevsky, Alex; Paschalidis, Ioannis Ch.
1
2020
Multiparameter persistence landscapes. Zbl 07255092
Vipond, Oliver
1
2020
Unique sharp local minimum in \(\ell_1\)-minimization complete dictionary learning. Zbl 07255094
Wang, Yu; Wu, Siqi; Yu, Bin
1
2020
WONDER: weighted one-shot distributed ridge regression in high dimensions. Zbl 07255097
Dobriban, Edgar; Sheng, Yue
1
2020
On stationary-point hitting time and ergodicity of stochastic gradient Langevin dynamics. Zbl 07255099
Chen, Xi; Du, Simon S.; Tong, Xin T.
1
2020
Identifiability of additive noise models using conditional variances. Zbl 07255106
Park, Gunwoong
1
2020
Discerning the linear convergence of ADMM for structured convex optimization through the lens of variational analysis. Zbl 07255114
Yuan, Xiaoming; Zeng, Shangzhi; Zhang, Jin
1
2020
Simultaneous inference for pairwise graphical models with generalized score matching. Zbl 07255122
Yu, Ming; Gupta, Varun; Kolar, Mladen
1
2020
Stochastic nested variance reduction for nonconvex optimization. Zbl 07255134
Zhou, Dongruo; Xu, Pan; Gu, Quanquan
1
2020
Distributed minimum error entropy algorithms. Zbl 07255157
Guo, Xin; Hu, Ting; Wu, Qiang
1
2020
A general system of differential equations to model first-order adaptive algorithms. Zbl 07255160
Da Silva, Andre Belotto; Gazeau, Maxime
1
2020
Convergence rates for the stochastic gradient descent method for non-convex objective functions. Zbl 07255167
Fehrman, Benjamin; Gess, Benjamin; Jentzen, Arnulf
1
2020
metric-learn: metric learning algorithms in Python. Zbl 07255169
de Vazelhes, William; Carey, Cj; Tang, Yuan; Vauquier, Nathalie; Bellet, Aurélien
1
2020
New insights and perspectives on the natural gradient method. Zbl 07306852
Martens, James
1
2020
Monotonic value function factorisation for deep multi-agent reinforcement learning. Zbl 07306875
Rashid, Tabish; Samvelyan, Mikayel; de Witt, Christian Schroeder; Farquhar, Gregory; Foerster, Jakob; Whiteson, Shimon
1
2020
Curriculum learning for reinforcement learning domains: a framework and survey. Zbl 07306877
Narvekar, Sanmit; Peng, Bei; Leonetti, Matteo; Sinapov, Jivko; Taylor, Matthew E.; Stone, Peter
1
2020
Sobolev norm learning rates for regularized least-squares algorithms. Zbl 07306894
Fischer, Simon; Steinwart, Ingo
1
2020
AdaGrad stepsizes: sharp convergence over nonconvex landscapes. Zbl 07306906
Ward, Rachel; Wu, Xiaoxia; Bottou, Leon
1
2020
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems. Zbl 07306909
Tang, Peipei; Wang, Chengjing; Sun, Defeng; Toh, Kim-Chuan
1
2020
Nonparametric graphical model for counts. Zbl 07306910
Roy, Arkaprava; Dunson, David B.
1
2020
Adaptive rates for total variation image denoising. Zbl 07306926
Ortelli, Francesco; van de Geer, Sara
1
2020
Complete dictionary learning via \(\ell^4\)-norm maximization over the orthogonal group. Zbl 07307468
Zhai, Yuexiang; Yang, Zitong; Liao, Zhenyu; Wright, John; Ma, Yi
1
2020
Robust high dimensional learning for Lipschitz and convex losses. Zbl 07307489
Geoffrey, Chinot; Guillaume, Lecué; Matthieu, Lerasle
1
2020
Deep optimal stopping. Zbl 07064054
Becker, Sebastian; Cheridito, Patrick; Jentzen, Arnulf
15
2019
Neural architecture search: a survey. Zbl 07049774
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank
9
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Log-concave sampling: Metropolis-Hastings algorithms are fast. Zbl 1440.62039
Dwivedi, Raaz; Chen, Yuansi; Wainwright, Martin J.; Yu, Bin
6
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A well-tempered landscape for non-convex robust subspace recovery. Zbl 07049756
Maunu, Tyler; Zhang, Teng; Lerman, Gilad
6
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A representer theorem for deep neural networks. Zbl 1434.68526
Unser, Michael
5
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Pyro: deep universal probabilistic programming. Zbl 07049747
Bingham, Eli; Chen, Jonathan P.; Jankowiak, Martin; Obermeyer, Fritz; Pradhan, Neeraj; Karaletsos, Theofanis; Singh, Rohit; Szerlip, Paul; Horsfall, Paul; Goodman, Noah D.
5
2019
Analysis of spectral clustering algorithms for community detection: the general bipartite setting. Zbl 07049766
Zhou, Zhixin; Amini, Arash A.
5
2019
Efficient augmentation and relaxation learning for individualized treatment rules using observational data. Zbl 07049767
Zhao, Ying-Qi; Laber, Eric B.; Ning, Yang; Saha, Sumona; Sands, Bruce E.
5
2019
Lazifying conditional gradient algorithms. Zbl 07064051
Braun, Gábor; Pokutta, Sebastian; Zink, Daniel
4
2019
Analysis of Langevin Monte Carlo via convex optimization. Zbl 07064053
Durmus, Alain; Majewski, Szymon; Miasojedow, Błażej
4
2019
Prediction risk for the horseshoe regression. Zbl 07064058
Bhadra, Anindya; Datta, Jyotishka; Li, Yunfan; Polson, Nicholas G.; Willard, Brandon
4
2019
Kernels for sequentially ordered data. Zbl 07049750
Király, Franz J.; Oberhauser, Harald
4
2019
Tunability: importance of hyperparameters of machine learning algorithms. Zbl 07049772
Probst, Philipp; Boulesteix, Anne-Laure; Bischl, Bernd
4
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Regularization via mass transportation. Zbl 1434.68450
Shafieezadeh-Abadeh, Soroosh; Kuhn, Daniel; Esfahani, Peyman Mohajerin
3
2019
Deep exploration via randomized value functions. Zbl 1434.68515
Osband, Ian; van Roy, Benjamin; Russo, Daniel J.; Wen, Zheng
3
2019
Local regularization of noisy point clouds: improved global geometric estimates and data analysis. Zbl 1434.68407
García Trillos, Nicolás; Sanz-Alonso, Daniel; Yang, Ruiyi
3
2019
Learning by unsupervised nonlinear diffusion. Zbl 1440.68233
Maggioni, Mauro; Murphy, James M.
3
2019
A kernel multiple change-point algorithm via model selection. Zbl 1446.62120
Arlot, Sylvain; Celisse, Alain; Harchaoui, Zaid
3
2019
Determinantal point processes for coresets. Zbl 1446.62351
Tremblay, Nicolas; Barthelmé, Simon; Amblard, Pierre-Olivier
3
2019
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks. Zbl 07064043
Bartlett, Peter L.; Harvey, Nick; Liaw, Christopher; Mehrabian, Abbas
3
2019
Variance-based regularization with convex objectives. Zbl 07064048
Duchi, John; Namkoong, Hongseok
3
2019
On consistent vertex nomination schemes. Zbl 07064049
Lyzinski, Vince; Levin, Keith; Priebe, Carey E.
3
2019
Generalized score matching for non-negative data. Zbl 07064056
Yu, Shiqing; Drton, Mathias; Shojaie, Ali
3
2019
Nonuniformity of p-values can occur early in diverging dimensions. Zbl 07064057
Fan, Yingying; Demirkaya, Emre; Lv, Jinchi
3
2019
Group invariance, stability to deformations, and complexity of deep convolutional representations. Zbl 07049744
Bietti, Alberto; Mairal, Julien
3
2019
TensorLy: tensor learning in Python. Zbl 07049745
Kossaifi, Jean; Panagakis, Yannis; Anandkumar, Anima; Pantic, Maja
3
2019
Matched bipartite block model with covariates. Zbl 07049753
Razaee, Zahra S.; Amini, Arash A.; Li, Jingyi Jessica
3
2019
Stochastic modified equations and dynamics of stochastic gradient algorithms. I: Mathematical foundations. Zbl 07049759
Li, Qianxiao; Tai, Cheng; E, Weinan
3
2019
DSCOVR: randomized primal-dual block coordinate algorithms for asynchronous distributed optimization. Zbl 07049762
Xiao, Lin; Yu, Adams Wei; Lin, Qihang; Chen, Weizhu
3
2019
An asymptotic analysis of distributed nonparametric methods. Zbl 1434.68457
Szabó, Botond; van Zanten, Harry
2
2019
Hamiltonian Monte Carlo with energy conserving subsampling. Zbl 1441.62927
Dang, Khue-Dung; Quiroz, Matias; Kohn, Robert; Tran, Minh-Ngoc; Villani, Mattias
2
2019
Solving the OSCAR and SLOPE models using a semismooth Newton-based augmented Lagrangian method. Zbl 1434.68430
Luo, Ziyan; Sun, Defeng; Toh, Kim-Chuan; Xiu, Naihua
2
2019
An efficient two step algorithm for high dimensional change point regression models without grid search. Zbl 1434.62151
Kaul, Abhishek; Jandhyala, Venkata K.; Fotopoulos, Stergios B.
2
2019
More efficient estimation for logistic regression with optimal subsamples. Zbl 1441.62194
Wang, Haiying
2
2019
Learning optimized risk scores. Zbl 1440.68242
Ustun, Berk; Rudin, Cynthia
2
2019
Nonparametric estimation of probability density functions of random persistence diagrams. Zbl 1446.62113
Maroulas, Vasileios; Mike, Joshua L.; Oballe, Christopher
2
2019
Optimal convergence rates for convex distributed optimization in networks. Zbl 1446.90127
Scaman, Kevin; Bach, Francis; Bubeck, Sébastien; Lee, Yin Tat; Massoulié, Laurent
2
2019
All models are wrong, but many are useful: learning a variable’s importance by studying an entire class of prediction models simultaneously. Zbl 1436.62019
Fisher, Aaron; Rudin, Cynthia; Dominici, Francesca
2
2019
Differentiable reservoir computing. Zbl 1433.68343
Grigoryeva, Lyudmila; Ortega, Juan-Pablo
2
2019
Kernel approximation methods for speech recognition. Zbl 07064039
May, Avner; Garakani, Alireza Bagheri; Lu, Zhiyun; Guo, Dong; Liu, Kuan; Bellet, Aurélien; Fan, Linxi; Collins, Michael; Hsu, Daniel; Kingsbury, Brian; Picheny, Michael; Sha, Fei
2
2019
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54 Sugiyama, Masashi
49 Bühlmann, Peter
47 Zhou, Dingxuan
33 Fan, Jianqing
31 Jordan, Michael Irwin
30 Lian, Heng
30 Van de Geer, Sara Anna
28 Liu, Han
28 Wainwright, Martin J.
26 Suykens, Johan A. K.
25 Wasserman, Larry Alan
24 Kanamori, Takafumi
24 Liu, Yufeng
24 Wu, Qiang
22 Boyd, Stephen Poythress
21 Chen, Dirong
21 Steinwart, Ingo
21 Suzuki, Taiji
20 Alquier, Pierre
20 Dunson, David Brian
20 Schölkopf, Bernhard
20 Tsybakov, Alexandre B.
19 Cai, Tony Tony
19 Karniadakis, George Em
19 Wang, Shitong
19 Xiang, Dao-Hong
19 Yuan, Ming
18 Li, Runze
18 Rosasco, Lorenzo A.
18 Sun, Hongwei
17 Nott, David John
17 Richtárik, Peter
17 Zhang, Tong
16 Chung, Fu-Lai
16 Corani, Giorgio
16 Hu, Ting
16 Li, Luoqing
15 Blanchard, Gilles
15 Chen, Hong
15 Dalalyan, Arnak S.
15 Hullermeier, Eyke
15 Larrañaga, Pedro
15 Mendelson, Shahar
15 Pedrycz, Witold
15 Rudin, Cynthia
15 Sheng, Baohuai
15 Ying, Yiming
14 Bouveyron, Charles
14 De Baets, Bernard
14 Drton, Mathias
14 Fukumizu, Kenji
14 Guo, Zheng-Chu
14 Jiao, Licheng
14 Le Thi, Hoai An
14 Lecué, Guillaume
14 Lu, Zhaosong
14 Lugosi, Gábor
14 Lv, Shaogao
14 Ma, Shiqian
14 Peyré, Gabriel
14 Priebe, Carey E.
14 Rinaldo, Alessandro
14 Zhang, Changshui
14 Zhu, Ji
13 Bach, Francis R.
13 Bartlett, Peter L.
13 Bertsimas, Dimitris John
13 Bielza, Concha
13 Clémençon, Stéphan
13 Girolami, Mark A.
13 Latouche, Pierre
13 Lei, Jing
13 Lin, Lu
13 Meinshausen, Nicolai
13 Mohri, Mehryar
13 Mukherjee, Sayan
13 Pillonetto, Gianluigi
13 Príncipe, José Carlos
13 Tian, Yingjie
13 Tibshirani, Robert John
13 Tibshirani, Ryan J.
13 Waegeman, Willem
13 Xu, Zongben
13 Yu, Bin
13 Zhang, Cun-Hui
13 Zhou, Harrison H.
13 Zhou, Zhihua
12 Biau, Gérard
12 Carrizosa, Emilio
12 Duchi, John C.
12 Hancock, Edwin Robert
12 Kontorovich, Leonid Aryeh
12 Michailidis, George C.
12 Pan, Shaohua
12 Pati, Debdeep
12 Powell, Warren Buckler
12 Shen, Xiaotong
12 Tsang, Ivor Wai-Hung
12 Vehtari, Aki
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