Edit Profile (opens in new tab) Bartlett, Peter L. Compute Distance To: Compute Author ID: bartlett.peter-l Published as: Bartlett, Peter L.; Bartlett, Peter; Bartlett, P. L. more...less Documents Indexed: 73 Publications since 1996, including 3 Books 2 Contributions as Editor Co-Authors: 71 Co-Authors with 71 Joint Publications 1,759 Co-Co-Authors all top 5 Co-Authors 4 single-authored 8 Mendelson, Shahar 7 Long, Philip M. 6 Jordan, Michael Irwin 6 Williamson, Robert C. 5 Anthony, Martin H. G. 5 Baxter, Jonathan 5 Tewari, Ambuj 5 Wainwright, Martin J. 4 Lee, Wee Sun 3 Chatterji, Niladri S. 3 Kulkarni, Sanjeev R. 3 Lugosi, Gábor 3 Mcauliffe, Jon D. 3 Rubinstein, Benjamin I. P. 3 Rubinstein, J. Hyam 3 Shawe-Taylor, John 2 Abernethy, Jacob D. 2 Ben-David, Shai 2 Bitmead, Robert R. 2 Boucheron, Stéphane Vincent 2 Bousquet, Olivier 2 Cheng, Xiang 2 Flammarion, Nicolas 2 Kammer, Leonardo C. 2 Ma, Yian 2 Mason, Llew 2 Mou, Wenlong 2 Philips, Petra 1 Agarwal, Alekh 1 Arlot, Sylvain 1 Bhatia, Kush 1 Buchbinder, Niv 1 Butucea, Cristina 1 Carreras, Xavier 1 Collins, Michael 1 Cristianini, Nello 1 Dasgupta, Sanjoy 1 Duchi, John C. 1 Fischer, Paul 1 Freund, Yoav 1 Globerson, Amir 1 Golea, Mostefa 1 Greensmith, Evan 1 Guo, Ying 1 Harvey, Nick 1 Hedayati, Fares 1 Helmbold, David P. 1 Höffgen, Klaus-Uwe 1 Ishai, Yuval 1 Khamaru, Koulik 1 Kolchinskiĭ, Vladimir I’ich 1 Koo, Terry 1 Lanckriet, Gert R. G. 1 Liaw, Christopher 1 Linder, Tamás 1 Malik, Dhruv 1 Mehrabian, Abbas 1 Neeman, Joseph 1 Pananjady, Ashwin 1 Posner, Steven E. 1 Rakhlin, Alexander 1 Ravikumar, Pradeep 1 Schapire, Robert E. 1 Schmidt-Hieber, Johannes 1 Stanton, Isabelle 1 Traskin, Mikhail 1 Tsigler, Alexander 1 Tsybakov, Alexandre B. 1 Van de Geer, Sara Anna 1 Vayatis, Nicolas 1 Weaver, Lex 1 Wegkamp, Marten H. all top 5 Serials 13 Journal of Machine Learning Research (JMLR) 10 IEEE Transactions on Information Theory 6 Journal of Computer and System Sciences 4 Bernoulli 3 The Annals of Statistics 3 Machine Learning 2 Automatica 2 Probability Theory and Related Fields 2 Combinatorics, Probability and Computing 2 The Journal of Artificial Intelligence Research (JAIR) 2 Oberwolfach Reports 1 Journal of the American Statistical Association 1 Theoretical Computer Science 1 Systems & Control Letters 1 Statistics & Probability Letters 1 Statistical Science 1 Information and Computation 1 Neural Computation 1 Proceedings of the National Academy of Sciences of the United States of America 1 SIAM Journal on Optimization 1 European Series in Applied and Industrial Mathematics (ESAIM): Probability and Statistics 1 Econometric Theory 1 Panoramas et Synthèses all top 5 Fields 54 Computer science (68-XX) 27 Statistics (62-XX) 9 Probability theory and stochastic processes (60-XX) 8 Numerical analysis (65-XX) 5 Operations research, mathematical programming (90-XX) 5 Systems theory; control (93-XX) 4 Information and communication theory, circuits (94-XX) 3 General and overarching topics; collections (00-XX) 2 Calculus of variations and optimal control; optimization (49-XX) 2 Biology and other natural sciences (92-XX) 1 Real functions (26-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) Publications by Year all cited Publications top 5 cited Publications Citations contained in zbMATH Open 61 Publications have been cited 1,657 times in 1,183 Documents Cited by ▼ Year ▼ Rademacher and Gaussian complexities: risk bounds and structural results. Zbl 1084.68549Bartlett, Peter L.; Mendelson, Shahar 184 2003 Convexity, classification, and risk bounds. Zbl 1118.62330Bartlett, Peter L.; Jordan, Michael I.; Mcauliffe, Jon D. 175 2006 Neural network learning: Theoretical foundations. Zbl 0968.68126Anthony, Martin; Bartlett, Peter L. 156 1999 Learning the kernel matrix with semidefinite programming. Zbl 1222.68241Lanckriet, Gert R. G.; Cristianini, Nello; Bartlett, Peter; El Ghaoui, Laurent; Jordan, Michael I. 155 2004 Boosting the margin: a new explanation for the effectiveness of voting methods. Zbl 0929.62069Schapire, Robert E.; Freund, Yoav; Bartlett, Peter; Lee, Wee Sun 133 1998 Local Rademacher complexities. Zbl 1083.62034Bartlett, Peter L.; Bousquet, Olivier; Mendelson, Shahar 122 2005 The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network. Zbl 0901.68177Bartlett, Peter L. 75 1998 Model selection and error estimation. Zbl 0998.68117Bartlett, Peter L.; Boucheron, Stéphane; Lugosi, Gábor 53 2002 Structural risk minimization over data-dependent hierarchies. Zbl 0935.68090Shawe-Taylor, John; Bartlett, Peter L.; Williamson, Robert C.; Anthony, Martin 50 1998 Empirical minimization. Zbl 1142.62348Bartlett, Peter L.; Mendelson, Shahar 46 2006 Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization. Zbl 1365.94132Agarwal, Alekh; Bartlett, Peter L.; Ravikumar, Pradeep; Wainwright, Martin J. 39 2012 Infinite-horizon policy-gradient estimation. Zbl 0994.68119Baxter, J.; Bartlett, P. L. 30 2001 Classification with a reject option using a hinge loss. Zbl 1225.62080Bartlett, Peter L.; Wegkamp, Marten H. 30 2008 Efficient agnostic learning of neural networks with bounded fan-in. Zbl 0874.68253Lee, Wee Sun; Bartlett, Peter L.; Willamson, Robert C. 27 1996 On the consistency of multiclass classification methods. Zbl 1222.62079Tewari, Ambuj; Bartlett, Peter L. 24 2007 \(\ell _{1}\)-regularized linear regression: persistence and oracle inequalities. Zbl 1395.62207Bartlett, Peter L.; Mendelson, Shahar; Neeman, Joseph 21 2012 Covering numbers for real-valued function classes. Zbl 0947.26008Bartlett, P. L.; Kulkarni, S. R.; Posner, S. E. 19 1997 The importance of convexity in learning with squared loss. Zbl 0935.68091Lee, Wee Sun; Bartlett, Peter L.; Williamson, Robert C. 19 1998 Randomized smoothing for stochastic optimization. Zbl 1267.65063Duchi, John C.; Bartlett, Peter L.; Wainwright, Martin J. 19 2012 The minimax distortion redundancy in empirical quantizer design. Zbl 0964.94015Bartlett, Peter L.; Linder, Tamás; Lugosi, Gábor 17 1998 Fat-shattering and the learnability of real-valued functions. Zbl 0858.68076Bartlett, Peter L.; Long, Philip M.; Williamson, Robert C. 16 1996 Exponentiated gradient algorithms for conditional random fields and max-margin Markov networks. Zbl 1225.68167Collins, Michael; Globerson, Amir; Koo, Terry; Carreras, Xavier; Bartlett, Peter L. 16 2008 Improved generalization through explicit optimization of margins. Zbl 0954.68134Mason, Llew; Bartlett, Peter L.; Baxter, Jonathan 15 2000 AdaBoost is consistent. Zbl 1222.68142Bartlett, Peter L.; Traskin, Mikhail 14 2007 Variance reduction techniques for gradient estimates in reinforcement learning. Zbl 1222.68207Greensmith, Evan; Bartlett, Peter L.; Baxter, Jonathan 13 2004 Convergence of Langevin MCMC in KL-divergence. Zbl 1406.60114Cheng, Xiang; Bartlett, Peter 12 2018 Function learning from interpolation. Zbl 0959.68055Anthony, Martin; Bartlett, Peter L. 12 2000 Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks. Zbl 1489.62302Bartlett, Peter L.; Harvey, Nick; Liaw, Christopher; Mehrabian, Abbas 12 2019 Experiments with infinite-horizon, policy-gradient estimation. Zbl 0994.68187Baxter, J.; Bartlett, P. L.; Weaver, L. 12 2001 Direct iterative tuning via spectral analysis. Zbl 0976.93060Kammer, Leonardo C.; Bitmead, Robert R.; Bartlett, Peter L. 11 2000 Benign overfitting in linear regression. Zbl 1485.62085Bartlett, Peter L.; Long, Philip M.; Tsigler, Alexander 11 2020 Localized Rademacher complexities. Zbl 1050.68054Bartlett, Peter L.; Bousquet, Olivier; Mendelson, Shahar 9 2002 Covering numbers for support vector machines. Zbl 1059.68087Guo, Ying; Bartlett, Peter L.; Shawe-Taylor, John; Williamson, Robert C. 8 2002 Local complexities for empirical risk minimization. Zbl 1078.68046Bartlett, Peter L.; Mendelson, Shahar; Philips, Petra 8 2004 Sparseness vs estimating conditional probabilities: some asymptotic results. Zbl 1222.68141Bartlett, Peter L.; Tewari, Ambuj 8 2007 Rademacher and Gaussian complexities: Risk bounds and structural results. Zbl 0992.68106Bartlett, Peter L.; Mendelson, Shahar 7 2001 Prediction, learning, uniform convergence, and scale-sensitive dimensions. Zbl 0945.68529Bartlett, Peter L.; Long, Philip M. 7 1998 Hardness results for neural network approximation problems. Zbl 0997.68098Bartlett, Peter L.; Ben-David, Shai 6 2002 Shifting: one-inclusion mistake bounds and sample compression. Zbl 1158.68452Rubinstein, Benjamin I. P.; Bartlett, Peter L.; Rubinstein, J. Hyam 6 2009 Is there an analog of Nesterov acceleration for gradient-based MCMC? Zbl 1475.62123Ma, Yi-An; Chatterji, Niladri S.; Cheng, Xiang; Flammarion, Nicolas; Bartlett, Peter L.; Jordan, Michael I. 6 2021 Derivative-free methods for policy optimization: guarantees for linear quadratic systems. Zbl 1498.93784Malik, Dhruv; Pananjady, Ashwin; Bhatia, Kush; Khamaru, Koulik; Bartlett, Peter L.; Wainwright, Martin J. 5 2020 An inequality for uniform deviations of sample averages from their means. Zbl 0974.62007Bartlett, Peter; Lugosi, Gábor 5 1999 Bounded parameter Markov decision processes with average reward criterion. Zbl 1203.90175Tewari, Ambuj; Bartlett, Peter L. 5 2007 Bounding embeddings of VC classes into maximum classes. Zbl 1357.68182Rubinstein, J. Hyam; Rubinstein, Benjamin I. P.; Bartlett, Peter L. 4 2015 Fast rates for estimation error and oracle inequalities for model selection. Zbl 1284.62583Bartlett, Peter L. 4 2008 Learning changing concepts by exploiting the structure of change. Zbl 0965.68028Bartlett, Peter L.; Ben-David, Shai; Kulkarni, Sanjeev R. 4 2000 Sparseness versus estimating conditional probabilities: Some asymptotic results. Zbl 1078.68684Bartlett, Peter L.; Tewari, Ambuj 3 2004 Gradient descent with identity initialization efficiently learns positive-definite linear transformations by deep residual networks. Zbl 1475.68311Bartlett, Peter L.; Helmbold, David P.; Long, Philip M. 3 2019 High-order Langevin diffusion yields an accelerated MCMC algorithm. Zbl 07370559Mou, Wenlong; Ma, Yi-An; Wainwright, Martin J.; Bartlett, Peter L.; Jordan, Michael I. 3 2021 A regularization approach to metrical task systems. Zbl 1306.68211Abernethy, Jacob; Bartlett, Peter L.; Buchbinder, Niv; Stanton, Isabelle 2 2010 Margin-adaptive model selection in statistical learning. Zbl 1345.62087Arlot, Sylvain; Bartlett, Peter L. 2 2011 Generalization error of combined classifiers. Zbl 1059.68093Mason, Llew; Bartlett, Peter L.; Golea, Mostefa 2 2002 An introduction to reinforcement learning theory: Value function methods. Zbl 1019.68087Bartlett, Peter L. 2 2003 Sparse recovery problems in high dimensions: statistical inference and learning theory. Abstracts from the mini-workshop held March 15th – March 21st, 2009. Zbl 1177.62001 2 2009 On the consistency of multiclass classification methods. Zbl 1137.68565Tewari, Ambuj; Bartlett, Peter L. 2 2005 Estimation and approximation bounds for gradient-based reinforcement learning. Zbl 1052.68108Bartlett, Peter L.; Baxter, Jonathan 1 2002 Exchangeability characterizes optimality of sequential normalized maximum likelihood and Bayesian prediction. Zbl 1391.94584Hedayati, Fares; Bartlett, Peter L. 1 2017 Exploiting random walks for learning. Zbl 1012.68150Bartlett, Peter L.; Fischer, Paul; Höffgen, Klaus-Uwe 1 2002 Multitask learning with expert advice. Zbl 1203.68133Abernethy, Jacob; Bartlett, Peter; Rakhlin, Alexander 1 2007 When does gradient descent with logistic loss find interpolating two-layer networks? Zbl 07415102Chatterji, Niladri S.; Long, Philip M.; Bartlett, Peter L. 1 2021 The complexity of model classes, and smoothing noisy data. Zbl 0909.93076Bartlett, Peter L.; Kulkarni, Sanjeev R. 1 1998 Is there an analog of Nesterov acceleration for gradient-based MCMC? Zbl 1475.62123Ma, Yi-An; Chatterji, Niladri S.; Cheng, Xiang; Flammarion, Nicolas; Bartlett, Peter L.; Jordan, Michael I. 6 2021 High-order Langevin diffusion yields an accelerated MCMC algorithm. Zbl 07370559Mou, Wenlong; Ma, Yi-An; Wainwright, Martin J.; Bartlett, Peter L.; Jordan, Michael I. 3 2021 When does gradient descent with logistic loss find interpolating two-layer networks? Zbl 07415102Chatterji, Niladri S.; Long, Philip M.; Bartlett, Peter L. 1 2021 Benign overfitting in linear regression. Zbl 1485.62085Bartlett, Peter L.; Long, Philip M.; Tsigler, Alexander 11 2020 Derivative-free methods for policy optimization: guarantees for linear quadratic systems. Zbl 1498.93784Malik, Dhruv; Pananjady, Ashwin; Bhatia, Kush; Khamaru, Koulik; Bartlett, Peter L.; Wainwright, Martin J. 5 2020 Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks. Zbl 1489.62302Bartlett, Peter L.; Harvey, Nick; Liaw, Christopher; Mehrabian, Abbas 12 2019 Gradient descent with identity initialization efficiently learns positive-definite linear transformations by deep residual networks. Zbl 1475.68311Bartlett, Peter L.; Helmbold, David P.; Long, Philip M. 3 2019 Convergence of Langevin MCMC in KL-divergence. Zbl 1406.60114Cheng, Xiang; Bartlett, Peter 12 2018 Exchangeability characterizes optimality of sequential normalized maximum likelihood and Bayesian prediction. Zbl 1391.94584Hedayati, Fares; Bartlett, Peter L. 1 2017 Bounding embeddings of VC classes into maximum classes. Zbl 1357.68182Rubinstein, J. Hyam; Rubinstein, Benjamin I. P.; Bartlett, Peter L. 4 2015 Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization. Zbl 1365.94132Agarwal, Alekh; Bartlett, Peter L.; Ravikumar, Pradeep; Wainwright, Martin J. 39 2012 \(\ell _{1}\)-regularized linear regression: persistence and oracle inequalities. Zbl 1395.62207Bartlett, Peter L.; Mendelson, Shahar; Neeman, Joseph 21 2012 Randomized smoothing for stochastic optimization. Zbl 1267.65063Duchi, John C.; Bartlett, Peter L.; Wainwright, Martin J. 19 2012 Margin-adaptive model selection in statistical learning. Zbl 1345.62087Arlot, Sylvain; Bartlett, Peter L. 2 2011 A regularization approach to metrical task systems. Zbl 1306.68211Abernethy, Jacob; Bartlett, Peter L.; Buchbinder, Niv; Stanton, Isabelle 2 2010 Shifting: one-inclusion mistake bounds and sample compression. Zbl 1158.68452Rubinstein, Benjamin I. P.; Bartlett, Peter L.; Rubinstein, J. Hyam 6 2009 Sparse recovery problems in high dimensions: statistical inference and learning theory. Abstracts from the mini-workshop held March 15th – March 21st, 2009. Zbl 1177.62001 2 2009 Classification with a reject option using a hinge loss. Zbl 1225.62080Bartlett, Peter L.; Wegkamp, Marten H. 30 2008 Exponentiated gradient algorithms for conditional random fields and max-margin Markov networks. Zbl 1225.68167Collins, Michael; Globerson, Amir; Koo, Terry; Carreras, Xavier; Bartlett, Peter L. 16 2008 Fast rates for estimation error and oracle inequalities for model selection. Zbl 1284.62583Bartlett, Peter L. 4 2008 On the consistency of multiclass classification methods. Zbl 1222.62079Tewari, Ambuj; Bartlett, Peter L. 24 2007 AdaBoost is consistent. Zbl 1222.68142Bartlett, Peter L.; Traskin, Mikhail 14 2007 Sparseness vs estimating conditional probabilities: some asymptotic results. Zbl 1222.68141Bartlett, Peter L.; Tewari, Ambuj 8 2007 Bounded parameter Markov decision processes with average reward criterion. Zbl 1203.90175Tewari, Ambuj; Bartlett, Peter L. 5 2007 Multitask learning with expert advice. Zbl 1203.68133Abernethy, Jacob; Bartlett, Peter; Rakhlin, Alexander 1 2007 Convexity, classification, and risk bounds. Zbl 1118.62330Bartlett, Peter L.; Jordan, Michael I.; Mcauliffe, Jon D. 175 2006 Empirical minimization. Zbl 1142.62348Bartlett, Peter L.; Mendelson, Shahar 46 2006 Local Rademacher complexities. Zbl 1083.62034Bartlett, Peter L.; Bousquet, Olivier; Mendelson, Shahar 122 2005 On the consistency of multiclass classification methods. Zbl 1137.68565Tewari, Ambuj; Bartlett, Peter L. 2 2005 Learning the kernel matrix with semidefinite programming. Zbl 1222.68241Lanckriet, Gert R. G.; Cristianini, Nello; Bartlett, Peter; El Ghaoui, Laurent; Jordan, Michael I. 155 2004 Variance reduction techniques for gradient estimates in reinforcement learning. Zbl 1222.68207Greensmith, Evan; Bartlett, Peter L.; Baxter, Jonathan 13 2004 Local complexities for empirical risk minimization. Zbl 1078.68046Bartlett, Peter L.; Mendelson, Shahar; Philips, Petra 8 2004 Sparseness versus estimating conditional probabilities: Some asymptotic results. Zbl 1078.68684Bartlett, Peter L.; Tewari, Ambuj 3 2004 Rademacher and Gaussian complexities: risk bounds and structural results. Zbl 1084.68549Bartlett, Peter L.; Mendelson, Shahar 184 2003 An introduction to reinforcement learning theory: Value function methods. Zbl 1019.68087Bartlett, Peter L. 2 2003 Model selection and error estimation. Zbl 0998.68117Bartlett, Peter L.; Boucheron, Stéphane; Lugosi, Gábor 53 2002 Localized Rademacher complexities. Zbl 1050.68054Bartlett, Peter L.; Bousquet, Olivier; Mendelson, Shahar 9 2002 Covering numbers for support vector machines. Zbl 1059.68087Guo, Ying; Bartlett, Peter L.; Shawe-Taylor, John; Williamson, Robert C. 8 2002 Hardness results for neural network approximation problems. Zbl 0997.68098Bartlett, Peter L.; Ben-David, Shai 6 2002 Generalization error of combined classifiers. Zbl 1059.68093Mason, Llew; Bartlett, Peter L.; Golea, Mostefa 2 2002 Estimation and approximation bounds for gradient-based reinforcement learning. Zbl 1052.68108Bartlett, Peter L.; Baxter, Jonathan 1 2002 Exploiting random walks for learning. Zbl 1012.68150Bartlett, Peter L.; Fischer, Paul; Höffgen, Klaus-Uwe 1 2002 Infinite-horizon policy-gradient estimation. Zbl 0994.68119Baxter, J.; Bartlett, P. L. 30 2001 Experiments with infinite-horizon, policy-gradient estimation. Zbl 0994.68187Baxter, J.; Bartlett, P. L.; Weaver, L. 12 2001 Rademacher and Gaussian complexities: Risk bounds and structural results. Zbl 0992.68106Bartlett, Peter L.; Mendelson, Shahar 7 2001 Improved generalization through explicit optimization of margins. Zbl 0954.68134Mason, Llew; Bartlett, Peter L.; Baxter, Jonathan 15 2000 Function learning from interpolation. Zbl 0959.68055Anthony, Martin; Bartlett, Peter L. 12 2000 Direct iterative tuning via spectral analysis. Zbl 0976.93060Kammer, Leonardo C.; Bitmead, Robert R.; Bartlett, Peter L. 11 2000 Learning changing concepts by exploiting the structure of change. Zbl 0965.68028Bartlett, Peter L.; Ben-David, Shai; Kulkarni, Sanjeev R. 4 2000 Neural network learning: Theoretical foundations. Zbl 0968.68126Anthony, Martin; Bartlett, Peter L. 156 1999 An inequality for uniform deviations of sample averages from their means. Zbl 0974.62007Bartlett, Peter; Lugosi, Gábor 5 1999 Boosting the margin: a new explanation for the effectiveness of voting methods. Zbl 0929.62069Schapire, Robert E.; Freund, Yoav; Bartlett, Peter; Lee, Wee Sun 133 1998 The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network. Zbl 0901.68177Bartlett, Peter L. 75 1998 Structural risk minimization over data-dependent hierarchies. Zbl 0935.68090Shawe-Taylor, John; Bartlett, Peter L.; Williamson, Robert C.; Anthony, Martin 50 1998 The importance of convexity in learning with squared loss. Zbl 0935.68091Lee, Wee Sun; Bartlett, Peter L.; Williamson, Robert C. 19 1998 The minimax distortion redundancy in empirical quantizer design. Zbl 0964.94015Bartlett, Peter L.; Linder, Tamás; Lugosi, Gábor 17 1998 Prediction, learning, uniform convergence, and scale-sensitive dimensions. Zbl 0945.68529Bartlett, Peter L.; Long, Philip M. 7 1998 The complexity of model classes, and smoothing noisy data. Zbl 0909.93076Bartlett, Peter L.; Kulkarni, Sanjeev R. 1 1998 Covering numbers for real-valued function classes. Zbl 0947.26008Bartlett, P. L.; Kulkarni, S. R.; Posner, S. E. 19 1997 Efficient agnostic learning of neural networks with bounded fan-in. Zbl 0874.68253Lee, Wee Sun; Bartlett, Peter L.; Willamson, Robert C. 27 1996 Fat-shattering and the learnability of real-valued functions. Zbl 0858.68076Bartlett, Peter L.; Long, Philip M.; Williamson, Robert C. 16 1996 all cited Publications top 5 cited Publications all top 5 Cited by 2,067 Authors 23 Bartlett, Peter L. 20 Mendelson, Shahar 20 Ratsaby, Joel 18 Anthony, Martin H. G. 18 Zhou, Dingxuan 15 Lecué, Guillaume 13 Wu, Qiang 12 Chen, Dirong 11 Jordan, Michael Irwin 11 Kohler, Michael 11 Long, Philip M. 11 Lugosi, Gábor 11 Lv, Shaogao 11 Sugiyama, Masashi 11 Wainwright, Martin J. 11 Ying, Yiming 9 Blanchard, Gilles 9 Bousquet, Olivier 9 Duchi, John C. 9 Kanamori, Takafumi 9 Lei, Yunwen 8 Feng, Yunlong 8 Kolchinskiĭ, Vladimir I’ich 8 Steinwart, Ingo 8 Tsybakov, Alexandre B. 8 Xiang, Dao-Hong 8 Zhivotovskiy, Nikita 7 Cao, Feilong 7 Hanneke, Steve 7 Kontorovich, Leonid Aryeh 7 Liu, Yufeng 7 Mohri, Mehryar 7 Sheng, Baohuai 7 Suzuki, Taiji 7 Tong, Hongzhi 7 Xu, Zongben 6 Balcan, Maria-Florina 6 Guo, Zheng-Chu 6 Li, Luoqing 6 Massart, Pascal 6 Takeda, Akiko 6 Zhang, Tong 5 Ben-David, Shai 5 Boucheron, Stéphane Vincent 5 Christmann, Andreas 5 Eguchi, Shinto 5 Loustau, Sébastien 5 Nguyen, Khai T. 5 Rigollet, Philippe 5 Rosasco, Lorenzo A. 5 Schölkopf, Bernhard 5 Shawe-Taylor, John 5 Sun, Hongwei 5 Suykens, Johan A. K. 5 Tian, Yingjie 5 Vempala, Santosh S. 5 Wang, Junhui 5 Wegkamp, Marten H. 5 Zhang, Zhihua 5 Zou, Bin 4 Aswani, Anil 4 Biau, Gérard 4 Chang, Xiangyu 4 Chen, Hong 4 Clémençon, Stéphan 4 Dalalyan, Arnak S. 4 Fan, Jun 4 Feldman, Dan 4 Freund, Yoav 4 Gao, Daqi 4 Glass, Olivier 4 Hammer, Barbara 4 Juditsky, Anatoli B. 4 Levrard, Clément 4 Lian, Heng 4 Maiorov, Vitaly Evgen’evich 4 Maurer, Andreas 4 Murata, Noboru 4 Pontil, Massimiliano 4 Rudin, Cynthia 4 Sanguineti, Marcello 4 Takenouchi, Takashi 4 Tewari, Ambuj 4 Van de Geer, Sara Anna 4 Vayatis, Nicolas 4 Wang, Zhe 4 Yang, Fenghong 4 Yeung, Dit-Yan 4 Zeng, Donglin 4 Zhao, Yingqi 3 Advani, Madhu S. 3 Alquier, Pierre 3 Ancona, Fabio 3 Anguita, Davide 3 Arlot, Sylvain 3 Bach, Francis R. 3 Başar, Tamer 3 Bazanella, Alexandre Sanfelice 3 Blum, Avrim L. 3 Bottou, Léon ...and 1,967 more Authors all top 5 Cited in 235 Serials 96 Machine Learning 79 The Annals of Statistics 62 Journal of Machine Learning Research (JMLR) 49 Neural Computation 44 Pattern Recognition 43 Electronic Journal of Statistics 33 Neural Networks 26 Bernoulli 21 Information Sciences 21 Theoretical Computer Science 18 Journal of Computer and System Sciences 18 Mathematical Programming. Series A. Series B 17 Discrete Applied Mathematics 17 Computational Statistics and Data Analysis 14 Automatica 13 Journal of Multivariate Analysis 13 Journal of Complexity 13 Applied and Computational Harmonic Analysis 13 Analysis and Applications (Singapore) 12 SIAM Journal on Optimization 12 Advances in Computational Mathematics 11 Artificial Intelligence 11 Mathematical Problems in Engineering 10 Statistics & Probability Letters 10 Statistical Science 10 European Journal of Operational Research 10 SIAM Journal on Mathematics of Data Science 9 Probability Theory and Related Fields 9 International Journal of Computer Vision 8 Annals of the Institute of Statistical Mathematics 8 Journal of the American Statistical Association 8 Journal of Approximation Theory 8 Journal of Statistical Planning and Inference 8 Mathematics of Operations Research 8 Annals of Operations Research 7 Journal of Computational and Applied Mathematics 7 Information and Computation 6 Annals of Mathematics and Artificial Intelligence 6 Soft Computing 6 International Journal of Wavelets, Multiresolution and Information Processing 5 The Annals of Probability 5 SIAM Journal on Computing 5 Constructive Approximation 5 Computational Optimization and Applications 5 Data Mining and Knowledge Discovery 5 Journal of Statistical Mechanics: Theory and Experiment 5 Optimization Letters 4 Computers & Mathematics with Applications 4 Journal of Optimization Theory and Applications 4 Computers & Operations Research 4 The Annals of Applied Probability 4 Automation and Remote Control 4 Annales de l’Institut Henri Poincaré. Probabilités et Statistiques 4 Acta Mathematica Sinica. English Series 4 The Annals of Applied Statistics 4 Science China. Information Sciences 4 Statistics and Computing 3 The Canadian Journal of Statistics 3 Journal of the Franklin Institute 3 Journal of Mathematical Analysis and Applications 3 Applied Mathematics and Computation 3 Operations Research 3 SIAM Journal on Control and Optimization 3 Systems & Control Letters 3 New Generation Computing 3 Mathematical and Computer Modelling 3 Journal of Scientific Computing 3 SIAM Journal on Mathematical Analysis 3 Stochastic Processes and their Applications 3 SIAM Journal on Scientific Computing 3 The Journal of Artificial Intelligence Research (JAIR) 3 Journal of Nonparametric Statistics 3 European Series in Applied and Industrial Mathematics (ESAIM): Probability and Statistics 3 Abstract and Applied Analysis 3 Journal of the Royal Statistical Society. Series B. Statistical Methodology 3 Foundations of Computational Mathematics 3 Communications on Pure and Applied Analysis 3 Computational Management Science 3 Statistical Analysis and Data Mining 3 Foundations and Trends in Machine Learning 3 Statistics Surveys 3 Science China. Mathematics 3 Sankhyā. Series A 3 Stochastic Systems 3 Journal of the Japan Statistical Society. Japanese Issue 3 Mathematical Statistics and Learning 2 International Journal of Systems Science 2 Journal of Computational Physics 2 Journal of Statistical Physics 2 Scandinavian Journal of Statistics 2 Mathematics of Computation 2 Biometrics 2 Journal of Econometrics 2 Operations Research Letters 2 International Journal of Approximate Reasoning 2 SIAM Journal on Discrete Mathematics 2 SIAM Journal on Matrix Analysis and Applications 2 International Journal of Adaptive Control and Signal Processing 2 Journal of Global Optimization 2 Discrete Event Dynamic Systems ...and 135 more Serials all top 5 Cited in 39 Fields 726 Computer science (68-XX) 622 Statistics (62-XX) 184 Operations research, mathematical programming (90-XX) 116 Probability theory and stochastic processes (60-XX) 114 Numerical analysis (65-XX) 44 Functional analysis (46-XX) 43 Systems theory; control (93-XX) 35 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 27 Approximations and expansions (41-XX) 26 Information and communication theory, circuits (94-XX) 24 Biology and other natural sciences (92-XX) 20 Calculus of variations and optimal control; optimization (49-XX) 18 Combinatorics (05-XX) 12 Harmonic analysis on Euclidean spaces (42-XX) 10 Linear and multilinear algebra; matrix theory (15-XX) 10 Operator theory (47-XX) 8 Statistical mechanics, structure of matter (82-XX) 7 Partial differential equations (35-XX) 7 Quantum theory (81-XX) 6 Convex and discrete geometry (52-XX) 4 Integral equations (45-XX) 4 General topology (54-XX) 3 Order, lattices, ordered algebraic structures (06-XX) 3 Measure and integration (28-XX) 3 Dynamical systems and ergodic theory (37-XX) 3 Mechanics of deformable solids (74-XX) 3 Geophysics (86-XX) 2 General and overarching topics; collections (00-XX) 2 History and biography (01-XX) 2 Differential geometry (53-XX) 1 Mathematical logic and foundations (03-XX) 1 Group theory and generalizations (20-XX) 1 Real functions (26-XX) 1 Functions of a complex variable (30-XX) 1 Integral transforms, operational calculus (44-XX) 1 Geometry (51-XX) 1 Algebraic topology (55-XX) 1 Global analysis, analysis on manifolds (58-XX) 1 Fluid mechanics (76-XX) Citations by Year