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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: 2,446 Publications (since 2001)
References Indexed: 830 Publications with 45,940 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 Mahoney, Michael W.
14 Rudin, Cynthia
13 Singer, Yoram
13 Smola, Alexander J.
13 Sugiyama, Masashi
13 Zhou, Dingxuan
12 Bartlett, Peter L.
12 Bengio, Yoshua
12 Williamson, Robert C.
12 Xing, Eric P.
12 Yu, Bin
11 Dhillon, Inderjit S.
10 Fukumizu, Kenji
10 Gretton, Arthur
10 Hsieh, Cho-Jui
10 Hyvärinen, Aapo
10 Long, Philip M.
10 Maggioni, Mauro
10 Mannor, Shie
10 Pontil, Massimiliano
10 Steinwart, Ingo
10 Suykens, Johan A. K.
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 Krause, Andreas
9 Munos, Rémi
9 Peters, Jan
9 Sabato, Sivan
9 Shamir, Ohad
9 Shawe-Taylor, John
9 Shen, Xiaotong
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 Langford, John
8 Larochelle, Hugo
8 Lin, Qihang
8 Raskutti, Garvesh
8 Rosasco, Lorenzo A.
8 Teh, Yee Whye
8 Wu, Qiang
7 Bubeck, Sébastien
7 Fern, Alan P.
7 Gaïffas, Stéphane
7 Gao, Chao
7 Ghavamzadeh, Mohammad
7 Hsu, Daniel
7 Kakade, Sham M.
7 Lebanon, Guy
7 Mairal, Julien
7 Michailidis, George C.
7 Mohri, Mehryar
7 Mooij, Joris M.
7 Mukherjee, Sayan
7 Neumann, Gerhard
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 Yuan, Ming
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 Hanneke, Steve
6 Hazan, Elad
6 Hoyer, Patrik O.
6 Kolar, Mladen
6 Lanckriet, Gert R. G.
6 Lawrence, Neil D.
...and 4,495 more Authors

Publications by Year

Citations contained in zbMATH Open

1,742 Publications have been cited 20,597 times in 11,494 Documents Cited by Year
On model selection consistency of Lasso. Zbl 1222.62008
Zhao, Peng; Yu, Bin
402
2006
Statistical comparisons of classifiers over multiple data sets. Zbl 1222.68184
Demšar, Janez
382
2006
An introduction to variable and feature selection. Zbl 1102.68556
Guyon, Isabelle; Elisseeff, André
324
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
281
2011
Latent Dirichlet allocation. Zbl 1112.68379
Blei, David M.; Ng, Andrew Y.; Jordan, Michael I.
280
2003
Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. Zbl 1222.68144
Belkin, Mikhail; Niyogi, Partha; Sindhwani, Vikas
203
2006
Sparse Bayesian learning and the relevance vector machine. Zbl 0997.68109
Tipping, Michael E.
188
2001
Dropout: a simple way to prevent neural networks from overfitting. Zbl 1318.68153
Srivastava, Nitish; Hinton, Geoffrey; Krizhevsky, Alex; Sutskever, Ilya; Salakhutdinov, Ruslan
173
2014
Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data. Zbl 1225.68149
Banerjee, Onureena; El Ghaoui, Laurent; d’Aspremont, Alexandre
159
2008
Rademacher and Gaussian complexities: risk bounds and structural results. Zbl 1084.68549
Bartlett, Peter L.; Mendelson, Shahar
155
2003
Cluster ensembles – a knowledge reuse framework for combining multiple partitions. Zbl 1084.68759
Strehl, Alexander; Ghosh, Joydeep
146
2003
Mixed membership stochastic blockmodels. Zbl 1225.68143
Airoldi, Edoardo M.; Blei, David M.; Fienberg, Stephen E.; Xing, Eric P.
144
2008
Adaptive subgradient methods for online learning and stochastic optimization. Zbl 1280.68164
Duchi, John; Hazan, Elad; Singer, Yoram
142
2011
Learning the kernel matrix with semidefinite programming. Zbl 1222.68241
Lanckriet, Gert R. G.; Cristianini, Nello; Bartlett, Peter; El Ghaoui, Laurent; Jordan, Michael I.
141
2004
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
117
2008
Visualizing data using t-SNE. Zbl 1225.68219
van der Maaten, Laurens; Hinton, Geoffrey
117
2008
Kernel independent component analysis. Zbl 1088.68689
Bach, Francis R.; Jordan, Michael I.
114
2003
Non-negative matrix factorization with sparseness constraints. Zbl 1222.68218
Hoyer, Patrik O.
112
2004
Confidence intervals and hypothesis testing for high-dimensional regression. Zbl 1319.62145
Javanmard, Adel; Montanari, Andrea
112
2014
The no-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Zbl 1319.60150
Hoffman, Matthew D.; Gelman, Andrew
111
2014
Stability and generalization. Zbl 1007.68083
Bousquet, Olivier; Elisseeff, André
109
2002
A simpler approach to matrix completion. Zbl 1280.68141
Recht, Benjamin
104
2011
Clustering with Bregman divergences. Zbl 1190.62117
Banerjee, Arindam; Merugu, Srujana; Dhillon, Inderjit S.; Ghosh, Joydeep
101
2005
Manopt, a Matlab toolbox for optimization on manifolds. Zbl 1319.90003
Boumal, Nicolas; Mishra, Bamdev; Absil, P.-A.; Sepulchre, Rodolphe
101
2014
Support vector machine soft margin classifiers: error analysis. Zbl 1222.68167
Chen, Di-Rong; Wu, Qiang; Ying, Yiming; Zhou, Ding-Xuan
97
2004
On the influence of the kernel on the consistency of support vector machines. Zbl 1009.68143
Steinwart, Ingo
90
2002
Optimal structure identification with greedy search. Zbl 1084.68519
Chickering, David Maxwell
89
2003
A kernel two-sample test. Zbl 1283.62095
Gretton, Arthur; Borgwardt, Karsten M.; Rasch, Malte J.; Schölkopf, Bernhard; Smola, Alexander
88
2012
Stochastic dual coordinate ascent methods for regularized loss minimization. Zbl 1307.68073
Shalev-Shwartz, Shai; Zhang, Tong
87
2013
Online learning for matrix factorization and sparse coding. Zbl 1242.62087
Mairal, Julien; Bach, Francis; Ponce, Jean; Sapiro, Guillermo
87
2010
A differential equation for modeling Nesterov’s accelerated gradient method: theory and insights. Zbl 1391.90667
Su, Weijie; Boyd, Stephen; Candès, Emmanuel J.
87
2016
Consistency of the group Lasso and multiple kernel learning. Zbl 1225.68147
Bach, Francis R.
87
2008
Think globally, fit locally: unsupervised learning of low dimensional manifolds. Zbl 1093.68089
Saul, Lawrence K.; Roweis, Sam T.
85
2004
Matrix completion from noisy entries. Zbl 1242.62069
Keshavan, Raghunandan H.; Montanari, Andrea; Oh, Sewoong
84
2010
On the algorithmic implementation of multiclass kernel-based vector machines. Zbl 1037.68110
Crammer, Koby; Singer, Yoram
83
2002
Stochastic variational inference. Zbl 1317.68163
Hoffman, Matthew D.; Blei, David M.; Wang, Chong; Paisley, John
83
2013
Reducing multiclass to binary: A unifying approach for margin classifiers. Zbl 1013.68175
Allwein, Erin L.; Schapire, Robert E.; Singer, Yoram
81
2001
Large margin methods for structured and interdependent output variables. Zbl 1222.68321
Tsochantaridis, Ioannis; Joachims, Thorsten; Hofmann, Thomas; Altun, Yasemin
81
2005
Near-optimal sensor placements in Gaussian processes: theory, efficient algorithms and empirical studies. Zbl 1225.68192
Krause, Andreas; Singh, Ajit; Guestrin, Carlos
77
2008
Use of the zero-norm with linear models and kernel methods. Zbl 1102.68605
Weston, Jason; Elisseeff, André; Schölkopf, Bernhard; Tipping, Mike
75
2003
Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. Zbl 1242.62024
Watanabe, Sumio
75
2010
Analysis of multi-stage convex relaxation for sparse regularization. Zbl 1242.68262
Zhang, Tong
74
2010
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
72
2010
Tensor decompositions for learning latent variable models. Zbl 1319.62109
Anandkumar, Animashree; Ge, Rong; Hsu, Daniel; Kakade, Sham M.; Telgarsky, Matus
72
2014
High dimensional inverse covariance matrix estimation via linear programming. Zbl 1242.62043
Yuan, Ming
70
2010
Estimating high-dimensional directed acyclic graphs with the PC-algorithm. Zbl 1222.68229
Kalisch, Markus; Bühlmann, Peter
68
2007
An efficient boosting algorithm for combining preferences. Zbl 1098.68652
Freund, Yoav; Iyer, Raj; Schapire, Robert E.; Singer, Yoram
66
2004
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
66
2004
An extension on “Statistical comparisons of classifiers over multiple data sets” for all pairwise comparisons. Zbl 1225.68178
García, Salvador; Herrera, Francisco
66
2008
Statistical topological data analysis using persistence landscapes. Zbl 1337.68221
Bubenik, Peter
65
2015
Random search for hyper-parameter optimization. Zbl 1283.68282
Bergstra, James; Bengio, Yoshua
64
2012
Restricted strong convexity and weighted matrix completion: optimal bounds with noise. Zbl 1436.62204
Negahban, Sahand; Wainwright, Martin J.
63
2012
Ultrahigh dimensional feature selection: beyond the linear model. Zbl 1235.62089
Fan, Jianqing; Samworth, Richard; Wu, Yichao
63
2009
The nonparanormal: semiparametric estimation of high dimensional undirected graphs. Zbl 1235.62035
Liu, Han; Lafferty, John; Wasserman, Larry
62
2009
In defense of one-vs-all classification. Zbl 1222.68287
Rifkin, Ryan; Klautau, Aldebaro
62
2004
Distance metric learning for large margin nearest neighbor classification. Zbl 1235.68204
Weinberger, Kilian Q.; Saul, Lawrence K.
61
2009
Clustering on the unit hypersphere using von Mises-Fisher distributions. Zbl 1190.62116
Banerjee, Arindam; Dhillon, Inderjit S.; Ghosh, Joydeep; Sra, Suvrit
61
2005
Learning the kernel function via regularization. Zbl 1222.68265
Micchelli, Charles A.; Pontil, Massimiliano
61
2005
Least-squares policy iteration. Zbl 1094.68080
Lagoudakis, Michail G.; Parr, Ronald
59
2004
Efficient online and batch learning using forward backward splitting. Zbl 1235.62151
Duchi, John; Singer, Yoram
58
2009
Nonparametric quantile estimation. Zbl 1222.68316
Takeuchi, Ichiro; Le, Quoc V.; Sears, Timothy D.; Smola, Alexander J.
57
2006
Working set selection using second order information for training support vector machines. Zbl 1222.68198
Fan, Rong-En; Chen, Pai-Hsuen; Lin, Chih-Jen
56
2005
A unifying view of sparse approximate Gaussian process regression. Zbl 1222.68282
Quiñonero-Candela, Joaquin; Rasmussen, Carl Edward
56
2005
Universal kernels. Zbl 1222.68266
Micchelli, Charles A.; Xu, Yuesheng; Zhang, Haizhang
56
2006
Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis. Zbl 1222.68312
Sugiyama, Masashi
56
2007
Models of cooperative teaching and learning. Zbl 1280.68224
Zilles, Sandra; Lange, Steffen; Holte, Robert; Zinkevich, Martin
56
2011
Generalized power method for sparse principal component analysis. Zbl 1242.62048
Journée, Michel; Nesterov, Yurii; Richtárik, Peter; Sepulchre, Rodolphe
55
2010
Restricted eigenvalue properties for correlated Gaussian designs. Zbl 1242.62071
Raskutti, Garvesh; Wainwright, Martin J.; Yu, Bin
54
2010
Learning equivalence classes of Bayesian-network structures. Zbl 1007.68179
Chickering, David Maxwell
53
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.
53
2010
Regularized \(M\)-estimators with nonconvexity: statistical and algorithmic theory for local optima. Zbl 1360.62276
Loh, Po-Ling; Wainwright, Martin J.
52
2015
Large scale multiple kernel learning. Zbl 1222.90072
Sonnenburg, Sören; Rätsch, Gunnar; Schäfer, Christin; Schölkopf, Bernhard
52
2006
Online passive-aggressive algorithms. Zbl 1222.68177
Crammer, Koby; Dekel, Ofer; Keshet, Joseph; Shalev-Shwartz, Shai; Singer, Yoram
51
2006
Quantile regression forests. Zbl 1222.68262
Meinshausen, Nicolai
51
2006
Efficient SVM training using low-rank kernel representations. Zbl 1037.68112
Fine, Shai; Scheinberg, Katya
50
2002
On the Nyström method for approximating a gram matrix for improved kernel-based learning. Zbl 1222.68186
Drineas, Petros; Mahoney, Michael W.
50
2005
An interior-point method for large-scale \(l_1\)-regularized logistic regression. Zbl 1222.62092
Koh, Kwangmoo; Kim, Seung-Jean; Boyd, Stephen
49
2007
Dual averaging methods for regularized stochastic learning and online optimization. Zbl 1242.62011
Xiao, Lin
47
2010
Divide and conquer kernel ridge regression: a distributed algorithm with minimax optimal rates. Zbl 1351.62142
Zhang, Yuchen; Duchi, John; Wainwright, Martin
47
2015
Efficient feature selection via analysis of relevance and redundancy. Zbl 1222.68340
Yu, Lei; Liu, Huan
47
2004
Core vector machines: fast SVM training on very large data sets. Zbl 1222.68320
Tsang, Ivor W.; Kwok, James T.; Cheung, Pak-Ming
47
2005
Penalized model-based clustering with application to variable selection. Zbl 1222.68279
Pan, Wei; Shen, Xiaotong
47
2007
Multiple kernel learning algorithms. Zbl 1280.68167
Gönen, Mehmet; Alpaydın, Ethem
47
2011
Automatic differentiation in machine learning: a survey. Zbl 06982909
Baydin, Atılım Güneş; Pearlmutter, Barak A.; Radul, Alexey Andreyevich; Siskind, Jeffrey Mark
47
2018
A robust minimax approach to classification. Zbl 1084.68657
Lanckriet, Gert R. G.; El Ghaoui, Laurent; Bhattacharyya, Chiranjib; Jordan, Michael I.
46
2003
Kronecker graphs: an approach to modeling networks. Zbl 1242.05256
Leskovec, Jure; Chakrabarti, Deepayan; Kleinberg, Jon; Faloutsos, Christos; Ghahramani, Zoubin
46
2010
Consistency of random forests and other averaging classifiers. Zbl 1225.62081
Biau, Gérard; Devroye, Luc; Lugosi, Gábor
46
2008
CVXPY: a Python-embedded modeling language for convex optimization. Zbl 1360.90008
Diamond, Steven; Boyd, Stephen
46
2016
Support vector clustering. Zbl 1002.68598
Ben-Hur, Asa; Horn, David; Siegelmann, Hava T.; Vapnik, Vladimir
45
2002
Iterative reweighted algorithms for matrix rank minimization. Zbl 1436.65055
Mohan, Karthik; Fazel, Maryam
45
2012
On learning with integral operators. Zbl 1242.62059
Rosasco, Lorenzo; Belkin, Mikhail; De Vito, Ernesto
45
2010
Probability estimates for multi-class classification by pairwise coupling. Zbl 1222.68336
Wu, Ting-Fan; Lin, Chih-Jen; Weng, Ruby C.
45
2004
A linear non-Gaussian acyclic model for causal discovery. Zbl 1222.68304
Shimizu, Shohei; Hoyer, Patrik O.; Hyvärinen, Aapo; Kerminen, Antti
45
2006
Learning multiple tasks with kernel methods. Zbl 1222.68197
Evgeniou, Theodoros; Micchelli, Charles A.; Pontil, Massimiliano
44
2005
Statistical consistency of kernel canonical correlation analysis. Zbl 1222.62063
Fukumizu, Kenji; Bach, Francis R.; Gretton, Arthur
44
2007
A framework for learning predictive structures from multiple tasks and unlabeled data. Zbl 1222.68133
Ando, Rie Kubota; Zhang, Tong
43
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
42
2010
Proximal methods for hierarchical sparse coding. Zbl 1280.94029
Jenatton, Rodolphe; Mairal, Julien; Obozinski, Guillaume; Bach, Francis
42
2011
Support vector machine active learning with applications to text classification. Zbl 1009.68131
Tong, Simon; Koller, Daphne
41
2002
Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance. Zbl 1242.62062
Vinh, Nguyen Xuan; Epps, Julien; Bailey, James
41
2010
Global and quadratic convergence of Newton hard-thresholding pursuit. Zbl 07370529
Zhou, Shenglong; Xiu, Naihua; Qi, Hou-Duo
2
2021
Learning whenever learning is possible: universal learning under general stochastic processes. Zbl 07415073
Hanneke, Steve
1
2021
Pseudo-marginal Hamiltonian Monte Carlo. Zbl 07415084
Alenlöv, Johan; Doucet, Arnoud; Lindsten, Fredrik
1
2021
Aggregated hold-out. Zbl 07370537
Maillard, Guillaume; Arlot, Sylvain; Lerasle, Matthieu
1
2021
Finite time LTI system identification. Zbl 07370543
Sarkar, Tuhin; Rakhlin, Alexander; Dahleh, Munther A.
1
2021
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. Zbl 07370549
Lu, Fei; Maggioni, Mauro; Tang, Sui
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
Geometric structure of graph Laplacian embeddings. Zbl 07370580
García Trillos, Nicolás; Hoffmann, Franca; Hosseini, Bamdad
1
2021
Approximate Newton methods. Zbl 07370583
Ye, Haishan; Luo, Luo; Zhang, Zhihua
1
2021
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms. Zbl 07370593
Celisse, Alain; Wahl, Martin
1
2021
POT: Python optimal transport. Zbl 07370595
Flamary, Rémi; Courty, Nicolas; Gramfort, Alexandre; Alaya, Mokhtar Z.; Boisbunon, Aurélie; Chambon, Stanislas; Chapel, Laetitia; Corenflos, Adrien; Fatras, Kilian; Fournier, Nemo; Gautheron, Léo; Gayraud, Nathalie T. H.; Janati, Hicham; Rakotomamonjy, Alain; Redko, Ievgen; Rolet, Antoine; Schutz, Antony; Seguy, Vivien; Sutherland, Danica J.; Tavenard, Romain; Tong, Alexander; Vayer, Titouan
1
2021
Flexible signal denoising via flexible empirical Bayes shrinkage. Zbl 07370610
Xing, Zhengrong; Carbonetto, Peter; Stephens, Matthew
1
2021
Finite-sample analysis of interpolating linear classifiers in the overparameterized regime. Zbl 07370646
Chatterji, Niladri S.; Long, Philip M.
1
2021
A statistical learning approach to modal regression. Zbl 07255033
Feng, Yunlong; Fan, Jun; Suykens, Johan A. K.
5
2020
Path-based spectral clustering: guarantees, robustness to outliers, and fast algorithms. Zbl 07255037
Little, Anna; Maggioni, Mauro; Murphy, James M.
5
2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: benefits of multi-step gradients. Zbl 07255123
Chen, Yuansi; Dwivedi, Raaz; Wainwright, Martin J.; Yu, Bin
4
2020
Adaptive approximation and generalization of deep neural network with intrinsic dimensionality. Zbl 07306873
Nakada, Ryumei; Imaizumi, Masaaki
4
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
Convergences of regularized algorithms and stochastic gradient methods with random projections. Zbl 07255051
Lin, Junhong; Cevher, Volkan
2
2020
Derivative-free methods for policy optimization: guarantees for linear quadratic systems. Zbl 07255052
Malik, Dhruv; Pananjady, Ashwin; Bhatia, Kush; Khamaru, Koulik; Bartlett, Peter L.; Wainwright, Martin J.
2
2020
Distributed feature screening via componentwise debiasing. Zbl 07255055
Li, Xingxiang; Li, Runze; Xia, Zhiming; Xu, Chen
2
2020
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models. Zbl 07255056
Bezáková, Ivona; Blanca, Antonio; Chen, Zongchen; Štefankovič, Daniel; Vigoda, Eric
2
2020
Optimal bipartite network clustering. Zbl 07255071
Zhou, Zhixin; Amini, Arash A.
2
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
2
2020
Dynamical systems as temporal feature spaces. Zbl 07255075
Tino, Peter
2
2020
Expected policy gradients for reinforcement learning. Zbl 07255083
Ciosek, Kamil; Whiteson, Shimon
2
2020
Generalized optimal matching methods for causal inference. Zbl 07255093
Kallus, Nathan
2
2020
WONDER: weighted one-shot distributed ridge regression in high dimensions. Zbl 07255097
Dobriban, Edgar; Sheng, Yue
2
2020
Scalable approximate MCMC algorithms for the horseshoe prior. Zbl 07255104
Johndrow, James; Orenstein, Paulo; Bhattacharya, Anirban
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
A general system of differential equations to model first-order adaptive algorithms. Zbl 07255160
Da Silva, Andre Belotto; Gazeau, Maxime
2
2020
Convergence rates for the stochastic gradient descent method for non-convex objective functions. Zbl 07255167
Fehrman, Benjamin; Gess, Benjamin; Jentzen, Arnulf
2
2020
Krylov subspace method for nonlinear dynamical systems with random noise. Zbl 07306872
Hashimoto, Yuka; Ishikawa, Isao; Ikeda, Masahiro; Matsuo, Yoichi; Kawahara, Yoshinobu
2
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
2
2020
Consistency of semi-supervised learning algorithms on graphs: probit and one-hot methods. Zbl 07306882
Hoffmann, Franca; Hosseini, Bamdad; Ren, Zhi; Stuart, Andrew M.
2
2020
Learning data-adaptive non-parametric kernels. Zbl 07306897
Liu, Fanghui; Huang, Xiaolin; Gong, Chen; Yang, Jie; Li, Li
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
Adaptive rates for total variation image denoising. Zbl 07306926
Ortelli, Francesco; van de Geer, Sara
2
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
2
2020
Geomstats: a Python package for Riemannian geometry in machine learning. Zbl 07307485
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
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
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
Switching regression models and causal inference in the presence of discrete latent variables. Zbl 07255072
Christiansen, Rune; Peters, Jonas
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
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
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
GADMM: fast and communication efficient framework for distributed machine learning. Zbl 07255107
Elgabli, Anis; Park, Jihong; Bedi, Amrit S.; Bennis, Mehdi; Aggarwal, Vaneet
1
2020
Tuning hyperparameters without grad students: scalable and robust Bayesian optimisation with Dragonfly. Zbl 07255112
Kandasamy, Kirthevasan; Vysyaraju, Karun Raju; Neiswanger, Willie; Paria, Biswajit; Collins, Christopher R.; Schneider, Jeff; Poczos, Barnabas; Xing, Eric P.
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
Joint causal inference from multiple contexts. Zbl 07255130
Mooij, Joris M.; Magliacane, Sara; Claassen, Tom
1
2020
Stochastic nested variance reduction for nonconvex optimization. Zbl 07255134
Zhou, Dongruo; Xu, Pan; Gu, Quanquan
1
2020
Quadratic decomposable submodular function minimization: theory and practice. Zbl 07255137
Li, Pan; He, Niao; Milenkovic, Olgica
1
2020
tslearn, a machine learning toolkit for time series data. Zbl 07255149
Tavenard, Romain; Faouzi, Johann; Vandewiele, Gilles; Divo, Felix; Androz, Guillaume; Holtz, Chester; Payne, Marie; Yurchak, Roman; Rußwurm, Marc; Kolar, Kushal; Woods, Eli
1
2020
Tensor regression networks. Zbl 07255154
Kossaifi, Jean; Lipton, Zachary C.; Kolbeinsson, Arinbjorn; Khanna, Aran; Furlanello, Tommaso; Anandkumar, Anima
1
2020
Distributed minimum error entropy algorithms. Zbl 07255157
Guo, Xin; Hu, Ting; Wu, Qiang
1
2020
AI Explainability 360: an extensible toolkit for understanding data and machine learning models. Zbl 07255161
Arya, Vijay; Bellamy, Rachel K. E.; Chen, Pin-Yu; Dhurandhar, Amit; Hind, Michael; Hoffman, Samuel C.; Houde, Stephanie; Liao, Q. Vera; Luss, Ronny; Mojsilović, Aleksandra; Mourad, Sami; Pedemonte, Pablo; Raghavendra, Ramya; Richards, John T.; Sattigeri, Prasanna; Shanmugam, Karthikeyan; Singh, Moninder; Varshney, Kush R.; Wei, Dennis; Zhang, Yunfeng
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
Optimal convergence for distributed learning with stochastic gradient methods and spectral algorithms. Zbl 07306853
Lin, Junhong; Cevher, Volkan
1
2020
Convex and non-convex approaches for statistical inference with class-conditional noisy labels. Zbl 07306869
Song, Hyebin; Dai, Ran; Raskutti, Garvesh; Barber, Rina Foygel
1
2020
The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization. Zbl 07306870
Kobak, Dmitry; Lomond, Jonathan; Sanchez, Benoit
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
Fast exact matrix completion: a unified optimization framework for matrix completion. Zbl 07306912
Bertsimas, Dimitris; Li, Michael Lingzhi
1
2020
Risk bounds for reservoir computing. Zbl 07306919
Gonon, Lukas; Grigoryeva, Lyudmila; Ortega, Juan-Pablo
1
2020
Communication-efficient distributed optimization in networks with gradient tracking and variance reduction. Zbl 07307473
Li, Boyue; Cen, Shicong; Chen, Yuxin; Chi, Yuejie
1
2020
A determinantal point process for column subset selection. Zbl 07307477
Belhadji, Ayoub; Bardenet, Rémi; Chainais, Pierre
1
2020
Significance tests for neural networks. Zbl 07307487
Horel, Enguerrand; Giesecke, Kay
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
24
2019
Neural architecture search: a survey. Zbl 07049774
Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank
10
2019
Log-concave sampling: Metropolis-Hastings algorithms are fast. Zbl 1440.62039
Dwivedi, Raaz; Chen, Yuansi; Wainwright, Martin J.; Yu, Bin
9
2019
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.
8
2019
A representer theorem for deep neural networks. Zbl 1434.68526
Unser, Michael
7
2019
Kernels for sequentially ordered data. Zbl 07049750
Király, Franz J.; Oberhauser, Harald
7
2019
A well-tempered landscape for non-convex robust subspace recovery. Zbl 07049756
Maunu, Tyler; Zhang, Teng; Lerman, Gilad
6
2019
Analysis of spectral clustering algorithms for community detection: the general bipartite setting. Zbl 07049766
Zhou, Zhixin; Amini, Arash A.
6
2019
Tunability: importance of hyperparameters of machine learning algorithms. Zbl 07049772
Probst, Philipp; Boulesteix, Anne-Laure; Bischl, Bernd
6
2019
Lazifying conditional gradient algorithms. Zbl 07064051
Braun, Gábor; Pokutta, Sebastian; Zink, Daniel
6
2019
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Cited by 19,553 Authors

58 Sugiyama, Masashi
52 Bühlmann, Peter
48 Zhou, Dingxuan
35 Fan, Jianqing
32 Jordan, Michael Irwin
31 Lian, Heng
31 Van de Geer, Sara Anna
30 Liu, Han
29 Suykens, Johan A. K.
29 Wainwright, Martin J.
28 Wasserman, Larry Alan
27 Liu, Yufeng
25 Wu, Qiang
24 Kanamori, Takafumi
23 Karniadakis, George Em
22 Boyd, Stephen Poythress
22 Steinwart, Ingo
21 Cai, Tony Tony
21 Chen, Dirong
21 Dunson, David Brian
21 Suzuki, Taiji
21 Tsybakov, Alexandre B.
20 Alquier, Pierre
20 Hullermeier, Eyke
20 Li, Runze
20 Schölkopf, Bernhard
20 Yuan, Ming
19 Blanchard, Gilles
19 Wang, Shitong
19 Xiang, Dao-Hong
18 Nott, David John
18 Rosasco, Lorenzo A.
18 Sun, Hongwei
18 Zhang, Tong
17 Huang, Jian
17 Li, Luoqing
17 Richtárik, Peter
16 Chen, Hong
16 Chung, Fu-Lai
16 Corani, Giorgio
16 De Baets, Bernard
16 Hu, Ting
16 Meinshausen, Nicolai
16 Waegeman, Willem
16 Zhu, Ji
15 Bertsimas, Dimitris John
15 Bouveyron, Charles
15 Dalalyan, Arnak S.
15 Larrañaga, Pedro
15 Le Thi, Hoai An
15 Mendelson, Shahar
15 Mohri, Mehryar
15 Pedrycz, Witold
15 Priebe, Carey E.
15 Rinaldo, Alessandro
15 Rudin, Cynthia
15 Sheng, Baohuai
15 Ying, Yiming
15 Zhang, Cun-Hui
15 Zhou, Harrison H.
14 Bach, Francis R.
14 Bartlett, Peter L.
14 Clémençon, Stéphan
14 Drton, Mathias
14 Fukumizu, Kenji
14 Girolami, Mark A.
14 Guo, Zheng-Chu
14 Jiao, Licheng
14 Lecué, Guillaume
14 Lu, Zhaosong
14 Lugosi, Gábor
14 Lv, Shaogao
14 Ma, Shiqian
14 Mukherjee, Sayan
14 Peyré, Gabriel
14 Xu, Zongben
14 Zhang, Changshui
14 Zhou, Zhihua
13 Bielza, Concha
13 Duchi, John C.
13 Kontorovich, Leonid Aryeh
13 Latouche, Pierre
13 Lei, Jing
13 Levina, Elizaveta
13 Lin, Lu
13 Michailidis, George C.
13 Nie, Feiping
13 Pan, Shaohua
13 Pillonetto, Gianluigi
13 Powell, Warren Buckler
13 Príncipe, José Carlos
13 Shen, Xiaotong
13 Tian, Yingjie
13 Tibshirani, Robert John
13 Tibshirani, Ryan J.
13 Yu, Bin
13 Zou, Hui
12 Absil, Pierre-Antoine
12 Biau, Gérard
12 Carrizosa, Emilio
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616 Machine Learning
458 Journal of Machine Learning Research (JMLR)
430 The Annals of Statistics
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316 Computational Statistics and Data Analysis
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66 Annals of Operations Research
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54 Journal of Computational and Applied Mathematics
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33 SIAM/ASA Journal on Uncertainty Quantification
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23 The Annals of Applied Probability
23 Statistica Sinica
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22 Information Processing Letters
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