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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: 2,437 Publications (since 2001)
References Indexed: 821 Publications with 45,757 References.
all top 5

Authors

25 Bach, Francis R.
25 Jordan, Michael Irwin
23 Wainwright, Martin J.
18 Lin, Chih-Jen
18 Schölkopf, Bernhard
17 Shalev-Shwartz, Shai
17 Zhang, Tong
16 Müller, Klaus-Robert
14 Dunson, David Brian
14 Liu, Han
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 4,465 more Authors
all top 5

Fields

1,890 Computer science (68-XX)
1,327 Statistics (62-XX)
248 Operations research, mathematical programming (90-XX)
180 Probability theory and stochastic processes (60-XX)
128 Numerical analysis (65-XX)
72 Combinatorics (05-XX)
66 Game theory, economics, finance, and other social and behavioral sciences (91-XX)
57 Information and communication theory, circuits (94-XX)
42 Linear and multilinear algebra; matrix theory (15-XX)
34 Biology and other natural sciences (92-XX)
30 Functional analysis (46-XX)
14 Systems theory; control (93-XX)
8 Operator theory (47-XX)
8 Calculus of variations and optimal control; optimization (49-XX)
5 General and overarching topics; collections (00-XX)
5 Dynamical systems and ergodic theory (37-XX)
5 Algebraic topology (55-XX)
5 Quantum theory (81-XX)
3 History and biography (01-XX)
3 Statistical mechanics, structure of matter (82-XX)
2 Mathematical logic and foundations (03-XX)
2 Ordinary differential equations (34-XX)
2 Partial differential equations (35-XX)
1 Order, lattices, ordered algebraic structures (06-XX)
1 General algebraic systems (08-XX)
1 Algebraic geometry (14-XX)
1 Measure and integration (28-XX)
1 Potential theory (31-XX)
1 Sequences, series, summability (40-XX)
1 Approximations and expansions (41-XX)
1 Harmonic analysis on Euclidean spaces (42-XX)
1 Integral equations (45-XX)
1 Convex and discrete geometry (52-XX)
1 General topology (54-XX)
1 Global analysis, analysis on manifolds (58-XX)
1 Astronomy and astrophysics (85-XX)
1 Geophysics (86-XX)

Publications by Year

Citations contained in zbMATH Open

1,884 Publications have been cited 24,336 times in 13,804 Documents Cited by Year
On model selection consistency of Lasso. Zbl 1222.62008
Zhao, Peng; Yu, Bin
462
2006
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
423
2011
Statistical comparisons of classifiers over multiple data sets. Zbl 1222.68184
Demšar, Janez
419
2006
An introduction to variable and feature selection. Zbl 1102.68556
Guyon, Isabelle; Elisseeff, André
345
2003
Latent Dirichlet allocation. Zbl 1112.68379
Blei, David M.; Ng, Andrew Y.; Jordan, Michael I.
325
2003
Dropout: a simple way to prevent neural networks from overfitting. Zbl 1318.68153
Srivastava, Nitish; Hinton, Geoffrey; Krizhevsky, Alex; Sutskever, Ilya; Salakhutdinov, Ruslan
237
2014
Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. Zbl 1222.68144
Belkin, Mikhail; Niyogi, Partha; Sindhwani, Vikas
219
2006
Sparse Bayesian learning and the relevance vector machine. Zbl 0997.68109
Tipping, Michael E.
201
2001
Adaptive subgradient methods for online learning and stochastic optimization. Zbl 1280.68164
Duchi, John; Hazan, Elad; Singer, Yoram
200
2011
Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data. Zbl 1225.68149
Banerjee, Onureena; El Ghaoui, Laurent; d’Aspremont, Alexandre
186
2008
Visualizing data using t-SNE. Zbl 1225.68219
van der Maaten, Laurens; Hinton, Geoffrey
184
2008
Mixed membership stochastic blockmodels. Zbl 1225.68143
Airoldi, Edoardo M.; Blei, David M.; Fienberg, Stephen E.; Xing, Eric P.
179
2008
Rademacher and Gaussian complexities: risk bounds and structural results. Zbl 1084.68549
Bartlett, Peter L.; Mendelson, Shahar
175
2003
Cluster ensembles – a knowledge reuse framework for combining multiple partitions. Zbl 1084.68759
Strehl, Alexander; Ghosh, Joydeep
164
2003
The no-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Zbl 1319.60150
Hoffman, Matthew D.; Gelman, Andrew
154
2014
Learning the kernel matrix with semidefinite programming. Zbl 1222.68241
Lanckriet, Gert R. G.; Cristianini, Nello; Bartlett, Peter; El Ghaoui, Laurent; Jordan, Michael I.
151
2004
Confidence intervals and hypothesis testing for high-dimensional regression. Zbl 1319.62145
Javanmard, Adel; Montanari, Andrea
148
2014
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
134
2008
Non-negative matrix factorization with sparseness constraints. Zbl 1222.68218
Hoyer, Patrik O.
123
2004
Clustering with Bregman divergences. Zbl 1190.62117
Banerjee, Arindam; Merugu, Srujana; Dhillon, Inderjit S.; Ghosh, Joydeep
121
2005
Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. Zbl 1242.62024
Watanabe, Sumio
120
2010
Stability and generalization. Zbl 1007.68083
Bousquet, Olivier; Elisseeff, André
119
2002
Kernel independent component analysis. Zbl 1088.68689
Bach, Francis R.; Jordan, Michael I.
119
2003
A differential equation for modeling Nesterov’s accelerated gradient method: theory and insights. Zbl 1391.90667
Su, Weijie; Boyd, Stephen; Candès, Emmanuel J.
115
2016
A kernel two-sample test. Zbl 1283.62095
Gretton, Arthur; Borgwardt, Karsten M.; Rasch, Malte J.; Schölkopf, Bernhard; Smola, Alexander
114
2012
Manopt, a Matlab toolbox for optimization on manifolds. Zbl 1319.90003
Boumal, Nicolas; Mishra, Bamdev; Absil, P.-A.; Sepulchre, Rodolphe
113
2014
A simpler approach to matrix completion. Zbl 1280.68141
Recht, Benjamin
112
2011
Stochastic variational inference. Zbl 1317.68163
Hoffman, Matthew D.; Blei, David M.; Wang, Chong; Paisley, John
111
2013
Stochastic dual coordinate ascent methods for regularized loss minimization. Zbl 1307.68073
Shalev-Shwartz, Shai; Zhang, Tong
103
2013
Near-optimal sensor placements in Gaussian processes: theory, efficient algorithms and empirical studies. Zbl 1225.68192
Krause, Andreas; Singh, Ajit; Guestrin, Carlos
101
2008
On the influence of the kernel on the consistency of support vector machines. Zbl 1009.68143
Steinwart, Ingo
99
2002
Support vector machine soft margin classifiers: error analysis. Zbl 1222.68167
Chen, Di-Rong; Wu, Qiang; Ying, Yiming; Zhou, Ding-Xuan
99
2004
Online learning for matrix factorization and sparse coding. Zbl 1242.62087
Mairal, Julien; Bach, Francis; Ponce, Jean; Sapiro, Guillermo
98
2010
Optimal structure identification with greedy search. Zbl 1084.68519
Chickering, David Maxwell
94
2003
Automatic differentiation in machine learning: a survey. Zbl 06982909
Baydin, Atılım Güneş; Pearlmutter, Barak A.; Radul, Alexey Andreyevich; Siskind, Jeffrey Mark
92
2018
Consistency of the group Lasso and multiple kernel learning. Zbl 1225.68147
Bach, Francis R.
91
2008
Matrix completion from noisy entries. Zbl 1242.62069
Keshavan, Raghunandan H.; Montanari, Andrea; Oh, Sewoong
90
2010
Tensor decompositions for learning latent variable models. Zbl 1319.62109
Anandkumar, Animashree; Ge, Rong; Hsu, Daniel; Kakade, Sham M.; Telgarsky, Matus
89
2014
Random search for hyper-parameter optimization. Zbl 1283.68282
Bergstra, James; Bengio, Yoshua
89
2012
Think globally, fit locally: unsupervised learning of low dimensional manifolds. Zbl 1093.68089
Saul, Lawrence K.; Roweis, Sam T.
88
2004
On the algorithmic implementation of multiclass kernel-based vector machines. Zbl 1037.68110
Crammer, Koby; Singer, Yoram
86
2002
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
86
2010
Large margin methods for structured and interdependent output variables. Zbl 1222.68321
Tsochantaridis, Ioannis; Joachims, Thorsten; Hofmann, Thomas; Altun, Yasemin
86
2005
Statistical topological data analysis using persistence landscapes. Zbl 1337.68221
Bubenik, Peter
85
2015
Analysis of multi-stage convex relaxation for sparse regularization. Zbl 1242.68262
Zhang, Tong
82
2010
Reducing multiclass to binary: A unifying approach for margin classifiers. Zbl 1013.68175
Allwein, Erin L.; Schapire, Robert E.; Singer, Yoram
81
2001
Ultrahigh dimensional feature selection: beyond the linear model. Zbl 1235.62089
Fan, Jianqing; Samworth, Richard; Wu, Yichao
81
2009
The nonparanormal: semiparametric estimation of high dimensional undirected graphs. Zbl 1235.62035
Liu, Han; Lafferty, John; Wasserman, Larry
79
2009
High dimensional inverse covariance matrix estimation via linear programming. Zbl 1242.62043
Yuan, Ming
79
2010
Use of the zero-norm with linear models and kernel methods. Zbl 1102.68605
Weston, Jason; Elisseeff, André; Schölkopf, Bernhard; Tipping, Mike
76
2003
Estimating high-dimensional directed acyclic graphs with the PC-algorithm. Zbl 1222.68229
Kalisch, Markus; Bühlmann, Peter
74
2007
Clustering on the unit hypersphere using von Mises-Fisher distributions. Zbl 1190.62116
Banerjee, Arindam; Dhillon, Inderjit S.; Ghosh, Joydeep; Sra, Suvrit
72
2005
An efficient boosting algorithm for combining preferences. Zbl 1098.68652
Freund, Yoav; Iyer, Raj; Schapire, Robert E.; Singer, Yoram
71
2004
CVXPY: a Python-embedded modeling language for convex optimization. Zbl 1360.90008
Diamond, Steven; Boyd, Stephen
70
2016
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
70
2004
A unifying view of sparse approximate Gaussian process regression. Zbl 1222.68282
Quiñonero-Candela, Joaquin; Rasmussen, Carl Edward
70
2005
Universal kernels. Zbl 1222.68266
Micchelli, Charles A.; Xu, Yuesheng; Zhang, Haizhang
70
2006
Distance metric learning for large margin nearest neighbor classification. Zbl 1235.68204
Weinberger, Kilian Q.; Saul, Lawrence K.
69
2009
Regularized \(M\)-estimators with nonconvexity: statistical and algorithmic theory for local optima. Zbl 1360.62276
Loh, Po-Ling; Wainwright, Martin J.
69
2015
An extension on “Statistical comparisons of classifiers over multiple data sets” for all pairwise comparisons. Zbl 1225.68178
García, Salvador; Herrera, Francisco
69
2008
Restricted strong convexity and weighted matrix completion: optimal bounds with noise. Zbl 1436.62204
Negahban, Sahand; Wainwright, Martin J.
68
2012
Hilbert space embeddings and metrics on probability measures. Zbl 1242.60005
Sriperumbudur, Bharath K.; Gretton, Arthur; Fukumizu, Kenji; Schölkopf, Bernhard; Lanckriet, Gert R. G.
67
2010
Restricted eigenvalue properties for correlated Gaussian designs. Zbl 1242.62071
Raskutti, Garvesh; Wainwright, Martin J.; Yu, Bin
66
2010
Efficient online and batch learning using forward backward splitting. Zbl 1235.62151
Duchi, John; Singer, Yoram
65
2009
Generalized power method for sparse principal component analysis. Zbl 1242.62048
Journée, Michel; Nesterov, Yurii; Richtárik, Peter; Sepulchre, Rodolphe
64
2010
In defense of one-vs-all classification. Zbl 1222.68287
Rifkin, Ryan; Klautau, Aldebaro
64
2004
Learning the kernel function via regularization. Zbl 1222.68265
Micchelli, Charles A.; Pontil, Massimiliano
64
2005
Quantile regression forests. Zbl 1222.68262
Meinshausen, Nicolai
63
2006
Least-squares policy iteration. Zbl 1094.68080
Lagoudakis, Michail G.; Parr, Ronald
62
2004
Nonparametric quantile estimation. Zbl 1222.68316
Takeuchi, Ichiro; Le, Quoc V.; Sears, Timothy D.; Smola, Alexander J.
62
2006
On the Nyström method for approximating a gram matrix for improved kernel-based learning. Zbl 1222.68186
Drineas, Petros; Mahoney, Michael W.
61
2005
Divide and conquer kernel ridge regression: a distributed algorithm with minimax optimal rates. Zbl 1351.62142
Zhang, Yuchen; Duchi, John; Wainwright, Martin
60
2015
Working set selection using second order information for training support vector machines. Zbl 1222.68198
Fan, Rong-En; Chen, Pai-Hsuen; Lin, Chih-Jen
59
2005
On learning with integral operators. Zbl 1242.62059
Rosasco, Lorenzo; Belkin, Mikhail; De Vito, Ernesto
57
2010
Multiple kernel learning algorithms. Zbl 1280.68167
Gönen, Mehmet; Alpaydın, Ethem
57
2011
Learning equivalence classes of Bayesian-network structures. Zbl 1007.68179
Chickering, David Maxwell
57
2002
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
Deep hidden physics models: deep learning of nonlinear partial differential equations. Zbl 1439.68021
Raissi, Maziar
55
2018
Online passive-aggressive algorithms. Zbl 1222.68177
Crammer, Koby; Dekel, Ofer; Keshet, Joseph; Shalev-Shwartz, Shai; Singer, Yoram
55
2006
Large scale multiple kernel learning. Zbl 1222.90072
Sonnenburg, Sören; Rätsch, Gunnar; Schäfer, Christin; Schölkopf, Bernhard
55
2006
Efficient SVM training using low-rank kernel representations. Zbl 1037.68112
Fine, Shai; Scheinberg, Katya
54
2002
Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance. Zbl 1242.62062
Vinh, Nguyen Xuan; Epps, Julien; Bailey, James
54
2010
Consistency of random forests and other averaging classifiers. Zbl 1225.62081
Biau, Gérard; Devroye, Luc; Lugosi, Gábor
54
2008
An interior-point method for large-scale \(l_1\)-regularized logistic regression. Zbl 1222.62092
Koh, Kwangmoo; Kim, Seung-Jean; Boyd, Stephen
53
2007
Penalized model-based clustering with application to variable selection. Zbl 1222.68279
Pan, Wei; Shen, Xiaotong
52
2007
A robust minimax approach to classification. Zbl 1084.68657
Lanckriet, Gert R. G.; El Ghaoui, Laurent; Bhattacharyya, Chiranjib; Jordan, Michael I.
50
2003
Kronecker graphs: an approach to modeling networks. Zbl 1242.05256
Leskovec, Jure; Chakrabarti, Deepayan; Kleinberg, Jon; Faloutsos, Christos; Ghahramani, Zoubin
50
2010
Dual averaging methods for regularized stochastic learning and online optimization. Zbl 1242.62011
Xiao, Lin
50
2010
Do we need hundreds of classifiers to solve real world classification problems? Zbl 1319.62005
Fernández-Delgado, Manuel; Cernadas, Eva; Barro, Senén; Amorim, Dinani
50
2014
Support vector clustering. Zbl 1002.68598
Ben-Hur, Asa; Horn, David; Siegelmann, Hava T.; Vapnik, Vladimir
49
2002
Efficient feature selection via analysis of relevance and redundancy. Zbl 1222.68340
Yu, Lei; Liu, Huan
49
2004
Core vector machines: fast SVM training on very large data sets. Zbl 1222.68320
Tsang, Ivor W.; Kwok, James T.; Cheung, Pak-Ming
49
2005
A linear non-Gaussian acyclic model for causal discovery. Zbl 1222.68304
Shimizu, Shohei; Hoyer, Patrik O.; Hyvärinen, Aapo; Kerminen, Antti
49
2006
Iterative reweighted algorithms for matrix rank minimization. Zbl 1436.65055
Mohan, Karthik; Fazel, Maryam
49
2012
Fast approximation of matrix coherence and statistical leverage. Zbl 1437.65030
Drineas, Petros; Magdon-Ismail, Malik; Mahoney, Michael W.; Woodruff, David P.
49
2012
A statistical perspective on algorithmic leveraging. Zbl 1337.62164
Ma, Ping; Mahoney, Michael W.; Yu, Bin
48
2015
Statistical consistency of kernel canonical correlation analysis. Zbl 1222.62063
Fukumizu, Kenji; Bach, Francis R.; Gretton, Arthur
48
2007
Analysis of a random forests model. Zbl 1283.62127
Biau, Gérard
48
2012
Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. Zbl 1242.68256
Vincent, Pascal; Larochelle, Hugo; Lajoie, Isabelle; Bengio, Yoshua; Manzagol, Pierre-Antoine
47
2010
Normalizing flows for probabilistic modeling and inference. Zbl 07370574
Papamakarios, George; Nalisnick, Eric; Rezende, Danilo Jimenez; Mohamed, Shakir; Lakshminarayanan, Balaji
10
2021
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. Zbl 07370549
Lu, Fei; Maggioni, Mauro; Tang, Sui
7
2021
Global and quadratic convergence of Newton hard-thresholding pursuit. Zbl 07370529
Zhou, Shenglong; Xiu, Naihua; Qi, Hou-Duo
5
2021
Kernel operations on the GPU, with autodiff, without memory overflows. Zbl 07370591
Charlier, Benjamin; Feydy, Jean; Glaunès, Joan Alexis; Collin, François-David; Durif, Ghislain
5
2021
Finite-sample analysis of interpolating linear classifiers in the overparameterized regime. Zbl 07370646
Chatterji, Niladri S.; Long, Philip M.
5
2021
Banach space representer theorems for neural networks and ridge splines. Zbl 07370560
Parhi, Rahul; Nowak, Robert D.
4
2021
Optimal feedback law recovery by gradient-augmented sparse polynomial regression. Zbl 07370565
Azmi, Behzad; Kalise, Dante; Kunisch, Karl
4
2021
Prediction under latent factor regression: adaptive PCR, interpolating predictors and beyond. Zbl 07415120
Bing, Xin; Bunea, Florentina; Strimas-Mackey, Seth; Wegkamp, Marten
4
2021
FLAME: a fast large-scale almost matching exactly approach to causal inference. Zbl 07370548
Wang, Tianyu; Morucci, Marco; Awan, M. Usaid; Liu, Yameng; Roy, Sudeepa; Rudin, Cynthia; Volfovsky, Alexander
3
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
3
2021
High-order Langevin diffusion yields an accelerated MCMC algorithm. Zbl 07370559
Mou, Wenlong; Ma, Yi-An; Wainwright, Martin J.; Bartlett, Peter L.; Jordan, Michael I.
3
2021
Sparse and smooth signal estimation: convexification of \(\ell_0\)-formulations. Zbl 07370569
Atamturk, Alper; Gomez, Andres; Han, Shaoning
3
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
3
2021
Statistical query lower bounds for tensor PCA. Zbl 07370600
Dudeja, Rishabh; Hsu, Daniel
3
2021
An inertial Newton algorithm for deep learning. Zbl 1482.68211
Castera, Camille; Bolte, Jérôme; Févotte, Cédric; Pauwels, Edouard
3
2021
Inference for multiple heterogeneous networks with a common invariant subspace. Zbl 07415085
Arroyo, Jesús; Athreya, Avanti; Cape, Joshua; Chen, Guodong; Priebe, Carey E.; Vogelstein, Joshua T.
3
2021
Ranking and synchronization from pairwise measurements via SVD. Zbl 07370536
D’Aspremont, Alexandre; Cucuringu, Mihai; Tyagi, Hemant
2
2021
Aggregated hold-out. Zbl 07370537
Maillard, Guillaume; Arlot, Sylvain; Lerasle, Matthieu
2
2021
Finite time LTI system identification. Zbl 07370543
Sarkar, Tuhin; Rakhlin, Alexander; Dahleh, Munther A.
2
2021
Wasserstein barycenters can be computed in polynomial time in fixed dimension. Zbl 07370561
Altschuler, Jason M.; Boix-Adsera, Enric
2
2021
GemBag: group estimation of multiple Bayesian graphical models. Zbl 07370571
Yang, Xinming; Gan, Lingrui; Narisetty, Naveen N.; Liang, Feng
2
2021
A distributed method for fitting Laplacian regularized stratified models. Zbl 07370577
Tuck, Jonathan; Barratt, Shane; Boyd, Stephen
2
2021
Geometric structure of graph Laplacian embeddings. Zbl 07370580
García Trillos, Nicolás; Hoffmann, Franca; Hosseini, Bamdad
2
2021
Dynamic tensor recommender systems. Zbl 07370582
Zhang, Yanqing; Bi, Xuan; Tang, Niansheng; Qu, Annie
2
2021
On the theory of policy gradient methods: optimality, approximation, and distribution shift. Zbl 07370615
Agarwal, Alekh; Kakade, Sham M.; Lee, Jason D.; Mahajan, Gaurav
2
2021
Towards a unified analysis of random Fourier features. Zbl 07370625
Li, Zhu; Ton, Jean-Francois; Oglic, Dino; Sejdinovic, Dino
2
2021
A Lyapunov analysis of accelerated methods in optimization. Zbl 07370630
Wilson, Ashia C.; Recht, Ben; Jordan, Michael I.
2
2021
Strong consistency, graph Laplacians, and the stochastic block model. Zbl 07370634
Deng, Shaofeng; Ling, Shuyang; Strohmer, Thomas
2
2021
Learning sparse classifiers: continuous and mixed integer optimization perspectives. Zbl 07415078
Dedieu, Antoine; Hazimeh, Hussein; Mazumder, Rahul
2
2021
Pseudo-marginal Hamiltonian Monte Carlo. Zbl 07415084
Alenlöv, Johan; Doucet, Arnoud; Lindsten, Fredrik
2
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On efficient multilevel clustering via Wasserstein distances. Zbl 07415088
Huynh, Viet; Ho, Nhat; Dam, Nhan; Nguyen, Xuanlong; Yurochkin, Mikhail; Bui, Hung; Phung, Dinh
2
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Implicit self-regularization in deep neural networks: evidence from random matrix theory and implications for learning. Zbl 07415108
Martin, Charles H.; Mahoney, Michael W.
2
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Replica exchange for non-convex optimization. Zbl 07415116
Dong, Jing; Tong, Xin T.
2
2021
Domain generalization by marginal transfer learning. Zbl 07370519
Blanchard, Gilles; Deshmukh, Aniket Anand; Dogan, Urun; Lee, Gyemin; Scott, Clayton
1
2021
Preference-based online learning with dueling bandits: a survey. Zbl 07370524
Bengs, Viktor; Busa-Fekete, Róbert; El Mesaoudi-Paul, Adil; Hüllermeier, Eyke
1
2021
Convex clustering: model, theoretical guarantee and efficient algorithm. Zbl 07370526
Sun, Defeng; Toh, Kim-Chuan; Yuan, Yancheng
1
2021
Continuous time analysis of momentum methods. Zbl 07370534
Kovachki, Nikola B.; Stuart, Andrew M.
1
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Inference in high-dimensional single-index models under symmetric designs. Zbl 07370544
Eftekhari, Hamid; Banerjee, Moulinath; Ritov, Ya’acov
1
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A review of robot learning for manipulation: challenges, representations, and algorithms. Zbl 07370547
Kroemer, Oliver; Niekum, Scott; Konidaris, George
1
2021
Multi-class Gaussian process classification with noisy inputs. Zbl 07370553
Villacampa-Calvo, Carlos; Zaldívar, Bryan; Garrido-Merchán, Eduardo C.; Hernández-Lobato, Daniel
1
2021
Risk-averse learning by temporal difference methods with Markov risk measures. Zbl 07370555
Köse, Umit; Ruszczyński, Andrzej
1
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From Fourier to Koopman: spectral methods for long-term time series prediction. Zbl 07370558
Lange, Henning; Brunton, Steven L.; Kutz, J. Nathan
1
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RaSE: random subspace ensemble classification. Zbl 07370562
Tian, Ye; Feng, Yang
1
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Optimal structured principal subspace estimation: metric entropy and minimax rates. Zbl 07370563
Cai, Tony; Li, Hongzhe; Ma, Rong
1
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Incorporating unlabeled data into distributionally robust learning. Zbl 07370573
Frogner, Charlie; Claici, Sebastian; Chien, Edward; Solomon, Justin
1
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Sparse tensor additive regression. Zbl 07370581
Hao, Botao; Wang, Boxiang; Wang, Pengyuan; Zhang, Jingfei; Yang, Jian; Sun, Will Wei
1
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Approximate Newton methods. Zbl 07370583
Ye, Haishan; Luo, Luo; Zhang, Zhihua
1
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Path length bounds for gradient descent and flow. Zbl 07370585
Gupta, Chirag; Balakrishnan, Sivaraman; Ramdas, Aaditya
1
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Determining the number of communities in degree-corrected stochastic block models. Zbl 07370586
Ma, Shujie; Su, Liangjun; Zhang, Yichong
1
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Analyzing the discrepancy principle for kernelized spectral filter learning algorithms. Zbl 07370593
Celisse, Alain; Wahl, Martin
1
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Analysis of high-dimensional continuous time Markov chains using the local bouncy particle sampler. Zbl 07370608
Zhao, Tingting; Bouchard-Côté, Alexandre
1
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Flexible signal denoising via flexible empirical Bayes shrinkage. Zbl 07370610
Xing, Zhengrong; Carbonetto, Peter; Stephens, Matthew
1
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Safe policy iteration: a monotonically improving approximate policy iteration approach. Zbl 07370614
Metelli, Alberto Maria; Pirotta, Matteo; Calandriello, Daniele; Restelli, Marcello
1
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Beyond English-centric multilingual machine translation. Zbl 07370624
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1
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L-SVRG and L-Katyusha with arbitrary sampling. Zbl 07370629
Qian, Xun; Qu, Zheng; Richtárik, Peter
1
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Learning whenever learning is possible: universal learning under general stochastic processes. Zbl 07415073
Hanneke, Steve
1
2021
Hybrid predictive models: when an interpretable model collaborates with a black-box model. Zbl 07415080
Wang, Tong; Lin, Qihang
1
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Accelerating ill-conditioned low-rank matrix estimation via scaled gradient descent. Zbl 07415093
Tong, Tian; Ma, Cong; Chi, Yuejie
1
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What causes the test error? Going beyond bias-variance via ANOVA. Zbl 07415098
Lin, Licong; Dobriban, Edgar
1
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When does gradient descent with logistic loss find interpolating two-layer networks? Zbl 07415102
Chatterji, Niladri S.; Long, Philip M.; Bartlett, Peter L.
1
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Asymptotic normality, concentration, and coverage of generalized posteriors. Zbl 07415111
Miller, Jeffrey W.
1
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Unlinked monotone regression. Zbl 07415115
Balabdaoui, Fadoua; Doss, Charles R.; Durot, Cécile
1
2021
Mode-wise tensor decompositions: multi-dimensional generalizations of CUR decompositions. Zbl 07415128
Cai, Hanqin; Hamm, Keaton; Huang, Longxiu; Needell, Deanna
1
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A statistical learning approach to modal regression. Zbl 07255033
Feng, Yunlong; Fan, Jun; Suykens, Johan A. K.
11
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
11
2020
New insights and perspectives on the natural gradient method. Zbl 07306852
Martens, James
10
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
9
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
9
2020
Exploring the limits of transfer learning with a unified text-to-text transformer. Zbl 07255171
Raffel, Colin; Shazeer, Noam; Roberts, Adam; Lee, Katherine; Narang, Sharan; Matena, Michael; Zhou, Yanqi; Li, Wei; Liu, Peter J.
8
2020
Path-based spectral clustering: guarantees, robustness to outliers, and fast algorithms. Zbl 07255037
Little, Anna; Maggioni, Mauro; Murphy, James M.
7
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
6
2020
Generalized optimal matching methods for causal inference. Zbl 07255093
Kallus, Nathan
6
2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: benefits of multi-step gradients. Zbl 07255123
Chen, Yuansi; Dwivedi, Raaz; Wainwright, Martin J.; Yu, Bin
6
2020
Convergence rates for the stochastic gradient descent method for non-convex objective functions. Zbl 07255167
Fehrman, Benjamin; Gess, Benjamin; Jentzen, Arnulf
6
2020
Scalable approximate MCMC algorithms for the horseshoe prior. Zbl 07255104
Johndrow, James; Orenstein, Paulo; Bhattacharya, Anirban
5
2020
Adaptive approximation and generalization of deep neural network with intrinsic dimensionality. Zbl 07306873
Nakada, Ryumei; Imaizumi, Masaaki
5
2020
Provable convex co-clustering of tensors. Zbl 07306902
Chi, Eric C.; Gaines, Brian J.; Sun, Will Wei; Zhou, Hua; Yang, Jian
5
2020
Universal latent space model fitting for large networks with edge covariates. Zbl 07255035
Ma, Zhuang; Ma, Zongming; Yuan, Hongsong
4
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.
4
2020
Distributed feature screening via componentwise debiasing. Zbl 07255055
Li, Xingxiang; Li, Runze; Xia, Zhiming; Xu, Chen
4
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.
4
2020
Optimal bipartite network clustering. Zbl 07255071
Zhou, Zhixin; Amini, Arash A.
4
2020
Change point estimation in a dynamic stochastic block model. Zbl 07255138
Bhattacharjee, Monika; Banerjee, Moulinath; Michailidis, George
4
2020
Monte Carlo gradient estimation in machine learning. Zbl 07255163
Mohamed, Shakir; Rosca, Mihaela; Figurnov, Michael; Mnih, Andriy
4
2020
Learning from binary multiway data: probabilistic tensor decomposition and its statistical optimality. Zbl 07306859
Wang, Miaoyan; Li, Lexin
4
2020
Estimate sequences for stochastic composite optimization: variance reduction, acceleration, and robustness to noise. Zbl 07306860
Kulunchakov, Andrei; Mairal, Julien
4
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
4
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
4
2020
Communication-efficient distributed optimization in networks with gradient tracking and variance reduction. Zbl 07307473
Li, Boyue; Cen, Shicong; Chen, Yuxin; Chi, Yuejie
4
2020
Reinforcement learning in continuous time and space: a stochastic control approach. Zbl 07307478
Wang, Haoran; Zariphopoulou, Thaleia; Zhou, Xun Yu
4
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
3
2020
Dynamical systems as temporal feature spaces. Zbl 07255075
Tino, Peter
3
2020
Multiparameter persistence landscapes. Zbl 07255092
Vipond, Oliver
3
2020
WONDER: weighted one-shot distributed ridge regression in high dimensions. Zbl 07255097
Dobriban, Edgar; Sheng, Yue
3
2020
On stationary-point hitting time and ergodicity of stochastic gradient Langevin dynamics. Zbl 07255099
Chen, Xi; Du, Simon S.; Tong, Xin T.
3
2020
Simultaneous inference for pairwise graphical models with generalized score matching. Zbl 07255122
Yu, Ming; Gupta, Varun; Kolar, Mladen
3
2020
Joint causal inference from multiple contexts. Zbl 07255130
Mooij, Joris M.; Magliacane, Sara; Claassen, Tom
3
2020
Stochastic nested variance reduction for nonconvex optimization. Zbl 07255134
Zhou, Dongruo; Xu, Pan; Gu, Quanquan
3
2020
Stochastic conditional gradient methods: from convex minimization to submodular maximization. Zbl 07255136
Mokhtari, Aryan; Hassani, Hamed; Karbasi, Amin
3
2020
Distributed minimum error entropy algorithms. Zbl 07255157
Guo, Xin; Hu, Ting; Wu, Qiang
3
2020
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Cited by 23,242 Authors

58 Sugiyama, Masashi
56 Bühlmann, Peter
49 Zhou, Dingxuan
38 Fan, Jianqing
35 Lian, Heng
34 Jordan, Michael Irwin
33 Suykens, Johan A. K.
32 Van de Geer, Sara Anna
30 Liu, Yufeng
30 Wainwright, Martin J.
30 Wasserman, Larry Alan
29 Liu, Han
28 Karniadakis, George Em
28 Wu, Qiang
26 Dunson, David Brian
26 Nott, David John
25 Cai, Tony Tony
24 Hullermeier, Eyke
24 Kanamori, Takafumi
23 Steinwart, Ingo
22 Alquier, Pierre
22 Boyd, Stephen Poythress
21 Chen, Dirong
21 Huang, Jian
21 Suzuki, Taiji
21 Tsybakov, Alexandre B.
21 Yuan, Ming
20 Bouveyron, Charles
20 Gasnikov, Alexander V.
20 Li, Runze
20 Priebe, Carey E.
20 Schölkopf, Bernhard
20 Xiang, Dao-Hong
19 Bertsimas, Dimitris John
19 Blanchard, Gilles
19 Richtárik, Peter
19 Rosasco, Lorenzo A.
19 Wang, Shitong
19 Yin, Wotao
18 Bach, Francis R.
18 Bartlett, Peter L.
18 Sun, Hongwei
18 Toh, Kim Chuan
17 Attouch, Hedy
17 De Baets, Bernard
17 Li, Luoqing
17 Murphy, Thomas Brendan
17 Rudin, Cynthia
17 Sheng, Baohuai
17 Tran, Minh Ngoc
17 Waegeman, Willem
17 Zhang, Tong
17 Zhu, Ji
16 Chen, Hong
16 Chung, Fu-Lai
16 Corani, Giorgio
16 Girolami, Mark A.
16 Hu, Ting
16 Jentzen, Arnulf
16 Larrañaga, Pedro
16 Latouche, Pierre
16 Le Thi, Hoai An
16 Lv, Shaogao
16 Meinshausen, Nicolai
16 Michailidis, George C.
16 Mukherjee, Sayan
16 Pedrycz, Witold
16 Rinaldo, Alessandro
15 Carrizosa, Emilio
15 Dalalyan, Arnak S.
15 Lecué, Guillaume
15 Levina, Elizaveta
15 Lugosi, Gábor
15 Mendelson, Shahar
15 Mohri, Mehryar
15 Pan, Shaohua
15 Perdikaris, Paris G.
15 Peyré, Gabriel
15 Pillonetto, Gianluigi
15 Shen, Xiaotong
15 Vehtari, Aki
15 Ying, Yiming
15 Zhang, Cun-Hui
15 Zhou, Harrison H.
15 Zhou, Zhihua
14 Bielza, Concha
14 Clémençon, Stéphan
14 Drton, Mathias
14 Fukumizu, Kenji
14 Guo, Zheng-Chu
14 Herrera, Francisco
14 Jiao, Licheng
14 Jiao, Yuling
14 Kontorovich, Leonid Aryeh
14 Lin, Lu
14 Lu, Zhaosong
14 Ma, Shiqian
14 Mazumder, Rahul
14 Needell, Deanna
14 Nie, Feiping
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694 Machine Learning
472 The Annals of Statistics
451 Journal of Machine Learning Research (JMLR)
430 Pattern Recognition
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