Browse By Person: Bartlett, Peter

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Number of items: 73.

1998

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 899
Number of citations in Web of Science® 547

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 1,311
Number of citations in Scopus 342
Number of citations in Web of Science® 272

1999

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

2001

Baxter, J. & Bartlett, P. L. (2001) Infinite-horizon policy-gradient estimation. Journal of Artificial Intelligence Research, 15, 319-350 .
Number of citations in Scopus 246
Number of citations in Web of Science® 159

2002

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).

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 140
Number of citations in Web of Science® 103

2003

Bartlett, Peter L. & Mendelson, Shahar (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 311

2004

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 1,049
Number of citations in Web of Science® 632

2005

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

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 126
Number of citations in Web of Science® 83

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

2006

Bartlett, Peter L. & Mendelson, Shahar (2006) Empirical minimization. Probability Theory and Related Fields, 135(3), pp. 311-334.
Number of citations in Scopus 34
Number of citations in Web of Science® 31

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.

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 248
Number of citations in Web of Science® 183

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

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.

2007

Bartlett, Peter L. & Traskin, Mikhail (2007) Adaboost is consistent. Journal of Machine Learning Research, 8, pp. 2347-2368.
Number of full-text downloads 578
Number of citations in Scopus 35
Number of citations in Web of Science® 22

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 17
Number of citations in Scopus 3

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.

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 56
Number of citations in Web of Science® 34

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® 18

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

Bartlett, Peter L., Hazan, Elad, & Rakhlin, Alexander (2007) Adaptive online gradient descent. In Platt, J.C., Koller, D., Singer, Y., & Roweis, S.T. (Eds.) Advances in Neural Information Processing Systems 20, MIT Press, Canada, pp. 65-72.

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

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.

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.

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.

2008

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 69

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 60
Number of citations in Web of Science® 36

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 62
Number of citations in Web of Science® 28

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 140
Number of citations in Scopus 11

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).

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.

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

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

Abernethy, Jacob, Bartlett, Peter, Rakhlin, Alexander, & Tewari, Ambuj (2008) Optimal strategies and minimax lower bounds for online convex games [Technical Report No. UCB/EECS-2008-19]. University of California, Berkeley, United States of America.

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.

2009

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 70
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 7
Number of citations in Web of Science® 5

Agarwal, Alekh, Bartlett, Peter, Ravikumar, Pradeep, & Wainwright, Martin (2009) Information-theoretic lower bounds on the oracle complexity of convex optimization. In Bengio, Y, Schuurmans, D, Lafferty, J, Williams, C, & Culotta, A (Eds.) Advances in Neural Information Processing Systems 22: Proceedings of the 2009 Conference, 7 - 10 December, 2009, Canada.
Number of citations in Scopus 3

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 14

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 48
Number of citations in Scopus 1

2010

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

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.

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 2

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 35
Number of citations in Scopus 1

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® 3

2011

Abernethy, Jacob, Bartlett, Peter, & Hazan, Elad (2011) Blackwell approachability and no-regret learning are equivalent. In Kakade, S & von Luxburg, U (Eds.) Proceedings of the 24th Annual Conference on Learning Theory [JMLR Workshop and Conference Proceedings, Volume 19], 9 - 11 June, 2011, Hungary.
Number of citations in Scopus 2

Rostamizadeh, Afshin, Agarwal, Alekh, & Bartlett, Peter (2011) Learning with missing features. In Cozman, F & Pfeffer, A (Eds.) Uncertainty in Artificial Intelligence: Proceedings of the 27th Conference, UAI 2011, 14 - 17 July, 2011, Spain.
Number of citations in Scopus 4

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

Agarwal, Alekh, Duchi, John, Bartlett, Peter, & Levrard, Clement (2011) Oracle inequalities for computationally budgeted model selection. In Kakade, S & von Luxburg, U (Eds.) Proceedings of the 24th Annual Conference on Learning Theory [JMLR Workshop and Conference Proceedings, Volume 19], 9 - 11 June, 2011, Hungary.
Number of citations in Scopus 1

2012

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® 7

Hedayati, Fares & Bartlett, Peter (2012) Exchangeability characterizes optimality of sequential normalized maximum likelihood and Bayesian prediction with Jeffreys Prior. In Lawrence, N & Girolami, M (Eds.) JMLR: Workshop and Conference Proceedings, Volume 22: Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 21 - 23 April, 2012, Canary Islands.

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 29
Number of citations in Web of Science® 14

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 8
Number of citations in Web of Science® 5

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® 5

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.
Number of citations in Scopus 1
Number of citations in Web of Science® 1

Hedayati, Fares & Bartlett, Peter (2012) The optimality of Jeffreys Prior for online density estimation and the asymptotic normality of maximum likelihood estimators. In Mannor, S, Srebro, N, & Williamson, R (Eds.) JMLR: Workshop and Conference Proceedings, Volume 23: Proceedings of the 25th Annual Conference on Learning Theory, 25 - 27 June, 2012, Scotland.
Number of citations in Scopus 1

2013

Bartlett, Peter, Grunwald, Peter, Harremoes, Peter, Hedayati, Fares, & Kotowski, Wojciech (2013) Horizon-independent optimal prediction with log-loss in exponential families. In Shalev-Shwartz, S & Steinwart, I (Eds.) JMLR: Workshop and Conference Proceedings, Volume 30: Conference on Learning Theory, 12 - 14 June, 2013, United States of America.
Number of citations in Scopus 1

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 39

2014

Koolen, Wouter M., Malek, Alan, & Bartlett, Peter L. (2014) Efficient minimax strategies for square loss games. In Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N.D., & Weinberger, K.Q. (Eds.) Advances in Neural Information Processing Systems 27 (NIPS 2014), Neural Information Processing Systems Foundation, Inc., Montreal, Quebec, Canada, pp. 3230-3238.
Number of full-text downloads 7

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 10

This list was generated on Sat Apr 18 04:12:43 2015 AEST.