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Number of items: 63.

Book

Anthony, Martin & Bartlett, P. L. (1999) Neural network learning:theoretical foundations. Cambridge University Press, Cambridge, U.K..

Journal Article

Najafi, Massieh, Auslander, David, Bartlett, Peter, Haves, Philip, & Sohn, Michael (2012) Application of machine learning in the fault diagnostics of air handling units. Applied Energy, pp. 347-358.
Number of citations in Scopus 7
Number of citations in Web of Science® 6

Agarwal, Alekh, Bartlett, Peter, Ravikumar, Pradeep, & Wainwright, Martin (2012) Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization. IEEE Transactions on Information Theory, 58(5), pp. 3235-3249.
Number of citations in Scopus 26
Number of citations in Web of Science® 11

Duchi, John, Bartlett, Peter, & Wainwright, Martin (2012) Randomized smoothing for stochastic optimization. SIAM Journal on Optimization, 22(2), pp. 674-701.
Number of citations in Scopus 7
Number of citations in Web of Science® 4

Bartlett, Peter, Mendelson, Shahar, & Neeman, Joseph (2012) l1-regularized linear regression: persistence and oracle inequalities. Probability Theory and Related Fields, 154(1 - 2), pp. 193-224.
Number of citations in Scopus 9
Number of citations in Web of Science® 4

Barth, Adam, Rubinstein, Benjamin, Sundararajan, Mukund, Mitchell, John, Song, Dawn, & Bartlett, Peter (2012) A learning-based approach to reactive security. IEEE Transactions on Dependable and Secure Computing, 9(4), pp. 482-493.

Arlot, Sylvain & Bartlett, Peter L. (2011) Margin-adaptive model selection in statistical learning. Bernoulli.
Number of citations in Scopus 1
Number of citations in Web of Science® 2

Bartlett, Peter L. (2010) Learning to act in uncertain environments : technical perspective. Communications of the ACM, 53(5), p. 98.

Bartlett, Peter L., Mendelson, Shahar, & Philips, Petra (2010) On the optimality of sample-based estimates of the expectation of the empirical minimizer. ESAIM : Probability and Statistics, 14(Jan), pp. 315-337.

Rubinstein, Benjamin I.P., Bartlett, Peter L., & Rubinstein, J. Hyam (2010) Corrigendum to “Shifting : one-inclusion mistake bounds and sample compression” [J. Comput. System Sci. 75 (1) (2009) 37–59]. Journal of Computer and System Sciences, 76(3-4), pp. 278-280.

Bartlett, Peter L. (2010) Optimal online prediction in adversarial environments. Algorithmic Learning Theory: 21st International Conference Proceedings [Lecture Notes in Computer Science], 6331, p. 34.

Bartlett, Peter L. (2010) Optimal online prediction in adversarial environments. Discovery Science [Lecture Notes in Artificial Intelligence], 6332, p. 371.

Abernethy, Jacob, Bartlett, Peter L., Buchbinder, Niv, & Stanton, Isabelle (2010) A Regularization Approach to Metrical Task Systems. LNCS- Algorithmic Learning Theory, 6331, pp. 270-284.
Number of citations in Scopus 1

Barth, Adam, Rubinstein, Benjamin I.P., Sundararajan, Mukund, Mitchell, John C., Song, Dawn, & Bartlett, Peter L. (2010) A learning-based approach to reactive security. Financial Cryptography and Data Security, 6052, pp. 192-206.
Number of citations in Scopus 4
Number of citations in Web of Science® 4

Kloft, Marius, Rückert, Ulrich, & Bartlett, Peter L. (2010) A unifying view of multiple kernel learning. Machine Learning and Knowledge Discovery in Databases, 6322, pp. 66-81.
Number of citations in Scopus 2
Number of citations in Web of Science® 2

Rosenberg, David, Sindhwani, Vikas, Bartlett, Peter L., & Niyogi, Partha (2009) Multiview point cloud kernels for semisupervised learning [Lecture Notes]. IEEE Signal Processing Magazine, 26(5), 145-150 .
Number of full-text downloads 64
Number of citations in Scopus 6
Number of citations in Web of Science® 4

Rubinstein, B., Bartlett, P.L., & Rubinstein, J. (2009) Shifting : one-inclusion mistake bounds and sample compression. Journal of Computer and System Sciences, 75(1), pp. 37-59.
Number of citations in Scopus 5
Number of citations in Web of Science® 4

Lee, Wee Sun, Bartlett, Peter L., & Williamson, Robert C. (2008) Correction to “The Importance of Convexity in Learning With Squared Loss” [Sep 98 1974-1980]. IEEE Transactions on Information Theory, 54(9), p. 4395.
Number of full-text downloads 61

Bartlett, Peter L. & Wegkamp, Marten H. (2008) Classification with a reject option using a hinge loss. Journal of Machine Learning Research, 9, pp. 1823-1840.
Number of citations in Scopus 57
Number of citations in Web of Science® 32

Collins, Michael, Globerson, Amir, Koo, Terry, Carreras, Xavier, & Bartlett, Peter L. (2008) Exponentiated gradient algorithms for conditional random fields and max-margin Markov Networks. Journal of Machine Learning Research, 9(Aug), pp. 1775-1822.
Number of citations in Scopus 57
Number of citations in Web of Science® 27

Bartlett, Peter L. (2008) Fast rates for estimation error and oracle inequalities for model section. Econometric Theory, 24(2), pp. 545-552.
Number of citations in Scopus 5
Number of citations in Web of Science® 6

Bartlett, Peter L. & Traskin, Mikhail (2007) Adaboost is consistent. Journal of Machine Learning Research, 8, pp. 2347-2368.
Number of full-text downloads 575
Number of citations in Scopus 35
Number of citations in Web of Science® 22

Tewari, Ambuj & Bartlett, Peter L. (2007) On the consistency of multiclass classification methods. Journal of Machine Learning Research, 8, pp. 1007-1025.
Number of citations in Scopus 53
Number of citations in Web of Science® 32

Bartlett, Peter L. & Tewari, Ambuj (2007) Sparseness vs estimating conditional probabilities : some asymptotic results. Journal of Machine Learning Research, 8(April), pp. 775-790.
Number of citations in Scopus 25
Number of citations in Web of Science® 17

Tewari, Ambuj & Bartlett, Peter L. (2007) Bounded parameter Markov Decision Processes with average reward criterion. Learning Theory, 4539, pp. 263-277.
Number of citations in Scopus 1
Number of citations in Web of Science® 4

Abernethy, Jacob, Bartlett, Peter L., & Rakhlin, Alexander (2007) Multitask learning with expert advice. Learning Theory, 4539, pp. 484-498.
Number of citations in Scopus 1
Number of citations in Web of Science® 2

Bartlett, Peter L. & Mendelson, Shahar (2006) Empirical minimization. Probability Theory and Related Fields, 135(3), pp. 311-334.
Number of citations in Scopus 30
Number of citations in Web of Science® 27

Bartlett, Peter L., Jordan, Michael I., & McAuliffe, Jon D. (2006) Comment. Statistical Science, 21(3), pp. 341-346.
Number of citations in Scopus 2

Bartlett, Peter L., Jordan, Michael I, & McAuliffe, Jon D (2006) Convexity, Classification, and Risk Bounds. Journal of the American Statistical Association, 101(473), pp. 138-156.
Number of citations in Scopus 239
Number of citations in Web of Science® 178

Bartlett, Peter & Mendelson, Shahar (2006) Discussion: Local Rademacher complexities and oracle inequalities in risk minimization. Annals of Statistics, 34(6), pp. 2657-2663.
Number of citations in Scopus 1

Bartlett, Peter L., Bousquet, Olivier, & Mendelson, Shahar (2005) Local Rademacher complexities. The Annals of Statistics, 33(4), pp. 1497-1537.
Number of citations in Scopus 106
Number of citations in Web of Science® 73

Tewari, Ambuj & Bartlett, Peter L. (2005) On the consistency of multiclass classification methods. Lecture Notes in Computer Science, 3559, pp. 143-157.
Number of citations in Web of Science® 6

Lanckriet, G. R. G., Cristianini, N., Bartlett, P. L., El Ghaoui, L., & Jordan, M. I. (2004) Learning the kernel matrix with semidefinite programming. Journal of Machine Learning Research, 5, pp. 27-72.
Number of citations in Scopus 1,024
Number of citations in Web of Science® 609

Bartlett, P. L. & Mendelson, S. (2003) Rademacher and Gaussian complexities: Risk bounds and structural results. Journal of Machine Learning Research, 3(3), pp. 463-482.
Number of citations in Scopus 296

Bartlett, P. L., Boucheron, S., & Lugosi, G. (2002) Model selection and error estimation. Machine Learning, 48(1-3), pp. 85-113.
Number of citations in Scopus 132
Number of citations in Web of Science® 96

Baxter, J. & Bartlett, P. L. (2001) Infinite-horizon policy-gradient estimation. Journal of Artificial Intelligence Research, 15, 319-350 .
Number of citations in Scopus 241
Number of citations in Web of Science® 158

Schapire, R. E., Freund, Y., Bartlett, P.L., & Lee, W. S. (1998) Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics, 26(5), pp. 1651-1686.
Number of citations in Scopus 879
Number of citations in Web of Science® 527

Bartlett, P.L. (1998) The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Transactions on Information Theory, 44(2), pp. 525-536.
Number of full-text downloads 1,276
Number of citations in Scopus 321
Number of citations in Web of Science® 262

Conference Paper

Seldin, Yevgeny, Bartlett, Peter L., Crammer, Koby, & Abbasi-Yadkori, Yasin (2014) Prediction with limited advice and multiarmed bandits with paid observations. In International Conference on Machine Learning, 21–June 26, 2014, Beijing, China.
Number of full-text downloads 8

Seldin, Yevgeny, Bartlett, Peter L., & Crammer, Koby (2013) Open problem : adversarial multiarmed bandits with limited advice. In Conference on Learning Theory (COLT 2013), June 12-14, 2013, Princeton, NJ.
Number of full-text downloads 30

Kulis, Brian & Bartlett, Peter L. (2010) Implicit online learning. In Proceedings of the 27 th International Conference on Machine Learning, Haifa, Israel.
Number of citations in Scopus 1

Agarwal, Alekh , Bartlett, Peter L., & Dama, Max (2010) Optimal allocation strategies for the dark pool problem. In Teh, Yee Whye & Titterington, Mike (Eds.) Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Chia Laguna Resort, Sardinia, Italy, pp. 9-16.
Number of full-text downloads 31
Number of citations in Scopus 1

Bartlett, Peter L. & Tewari, Ambuj (2009) REGAL : a regularization based algorithm for reinforcement learning in weakly communicating MDPs. In Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009)), McGill University, Montreal.
Number of citations in Scopus 13

Abernethy, Jacob , Agarwal, Alekh , & Bartlett, Peter L. (2009) A Stochastic View of Optimal Regret through Minimax Duality. In Dasgupta , S & Klivans, A (Eds.) Proceedings of the 22nd Annual Conference on Learning Theory, Montreal, Quebec.
Number of full-text downloads 46

Bartlett, Peter L., Dani, Varsha, Hayes, Thomas, Kakade, Sham, Rakhlin, Alexander, & Tewari, Ambuj (2008) High-probability regret bounds for bandit online linear optimization. In 21th Annual Conference on Learning Theory (COLT 2008), 9-12 July 2008, Helsinki, Finland.
Number of full-text downloads 138
Number of citations in Scopus 11

Najafi, Massieh, Auslander, David M. , Bartlett, Peter L., & Haves, Philip (2008) Application of machine learning in fault diagnostics of mechanical systems. In Proceedings of the World Congress on Engineering and Computer Science 2008: International Conference on Modeling, Simulation and Control 2008, International Association of Engineers, San Fransisco, pp. 957-962.

Najafi, M., Auslander, D.M. , Bartlett, P.L., & Haves, P. (2008) Fault diagnostics and supervised testing : How fault diagnostic tools can be proactive? In Grigoriadis , K. (Ed.) Proceeding (633) Intelligent Systems and Control - 2008, ACTA Press, Orlando, USA , pp. 34-45.

Barreno, M., Bartlett, P.L., Chi, F.J., Joseph, A.D., Nelson, B., Rubinstein, B.I.P., et al. (2008) Open problems in the security of learning. In Proceedings of the 1st ACM workshop on Workshop on AISec - AISec '08, Association for Computing Machinery, Alexandria, VA, pp. 19-26.
Number of citations in Scopus 8

Tewari, Ambuj & Bartlett, Peter L. (2008) Optimistic linear programming gives logarithmic regret for irreducible MDPs. In Platt, John, Koller, Daphne, Singer, Yoram, & Rowies, Sam (Eds.) Advances in Neural Information Processing Systems 20 (NIPS) , 2008, Cambridge, MA.

Najafi, M. , Auslander, D.M. , Bartlett, P.L. , & Haves, P. (2008) Overcoming the complexity of diagnostic problems due to sensor network architecture. In Grigoriadis , K. (Ed.) Proceeding (633) Intelligent Systems and Control - 2008, ACTA Press, Orlando, USA.

Rubinstein, Benjamin I. P., Bartlett, Peter L., & Rubinstein, J. Hyamm (2007) Shifting, one-inclusion mistake bounds and tight multiclass expected risk bounds. In Schölkopf, Bernhard , Platt, John , & Hofmann, Thomas (Eds.) Advances in Neural Information Processing Systems 19 : Proceedings of the 2006 Conference, MIT Press, Hyatt Regency, Vancouver, pp. 1193-1208.
Number of full-text downloads 15
Number of citations in Scopus 3

Rakhlin, Alexander, Abernethy, Jacob, & Bartlett, Peter L. (2007) Online discovery of similarity mappings. In Proceedings of the 24th international conference on Machine learning - ICML '07, Association for Computing Machinery, Oregon State University in Corvallis, Oregon, pp. 767-774.

Rosenberg, David & Bartlett, Peter L. (2007) The rademacher complexity of coregularized kernel classes. In Meila, Marina & Shen, Xiaotng (Eds.) 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), 21- 24 March 2007, Caribe Hilton Hotel, San Juan, Puerto Rico.

Bartlett, Peter L. & Traskin, Mikhail (2006) Adaboost and other large margin classifiers : convexity in pattern classification. In Proceedings of the 2006 Workshop on Defense Applications of Signal Processing (DASP'06), The Kingfisher Bay Resort, Fraser Island, Queensland, Australia.

Jimenez-Rodriquez , R., Sitar, N., & Bartlett, P.L. (2006) Maximum likelihood estimation of trace length distribution parameters using the EM algorithm. In Barla, G. & Barla, M. (Eds.) Prediction, Analysis and Design in Geomechanical Applications : Proceedings of the Eleventh International Conference on Computer Methods and Advances in Geomechanics (IACMAG-2005), Pàtron editore S.r.l., Torino, Italy, pp. 619-626.

Bartlett, Peter L., Collins, Michael J., Taskar, Ben, & McAllester, David A. (2005) Exponentiated gradient algorithms for large-margin structured classification. In Saul , Lawrence K. , Weiss, Yair , & Bottou, Léon (Eds.) Advances in Neural Information Processing Systems 17 : Proceedings of the 2004 Conference, MIT Press, Hyatt Regency, Vancouver, pp. 113-120.
Number of citations in Scopus 6

Report

Kloft, Marius, Rückert, Ulrich, & Bartlett, Peter L. (2010) A unifying view of multiple kernel learning. University of California, Berkeley.

Abernethy, Jacob D., Bartlett, Peter L., Rakhlin, Alexander, & Tewari, Ambuj (2008) Optimal strategies and minimax lower bounds for online convex games. University of California, Berkeley, Berkeley, California (USA).

Rakhlin, Alexander, Tewari, Ambuj, & Bartlett, Peter L. (2007) Closing the gap between bandit and full-information online optimization : high-probability regret bound. University of California, Berkeley, California (USA).

Bartlett, Peter L., Hazan, Elad, & Rakhlin, Alexander (2007) Adaptive online gradient descent. University of California, Berkeley, California.

Abernethy, Jacob D., Bartlett, Peter L., & Rakhlin, Alexander (2007) Multitask learning with expert advice. University of California, Berkeley, California.

Rubinstein, Benjamin I.P., Bartlett, Peter L., & Rubinstein, J. Hyam (2007) Shifting : one-inclusion mistake bounds and sample compression. University of California, Berkeley, Berkeley, California.

Lanckriet, Gert R. G., Cristianini, Nello, Bartlett, Peter, El Ghaoui, Laurent, & Jordan, Michael I. (2002) Learning the Kernel Matrix with Semi-Definite Programming. University of California, Berkeley, California (USA).

This list was generated on Sat Dec 27 05:19:05 2014 AEST.