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Rahul Jain, Pravin P. Varaiya, “Simulation‐based Uniform Value Function Estimates of Markov Decision Processes”, SIAM J. Control Optim., 45:5 (2006), 1633
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B. A. McKinney, J. E. Crowe, H. U. Voss, P. S. Crooke, N. Barney, J. H. Moore, “Hybrid grammar-based approach to nonlinear dynamical system identification from biological time series”, Phys. Rev. E, 73:2 (2006)
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M. Vidyasagar, Proceedings of the 44th IEEE Conference on Decision and Control, 2005, 560
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Natalie Neumeyer, “A central limit theorem for two-sample U-processes”, Statistics & Probability Letters, 67:1 (2004), 73
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Shahar Mendelson, Gideon Schechtman, “The shattering dimension of sets of linear functionals”, Ann. Probab., 32:3 (2004)
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Joel Ratsaby, “On learning multicategory classification with sample queries”, Information and Computation, 185:2 (2003), 298
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M.C. Campi, Maria Prandini, “Randomized algorithms for the synthesis of cautious adaptive controllers”, Systems & Control Letters, 49:1 (2003), 21
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Shahar Mendelson, Lecture Notes in Computer Science, 2600, Advanced Lectures on Machine Learning, 2003, 1
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Florence Merlevède, Magda Peligrad, Empirical Process Techniques for Dependent Data, 2002, 171
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S. Mendelson, “Rademacher averages and phase transitions in Glivenko-Cantelli classes”, IEEE Trans. Inform. Theory, 48:1 (2002), 251
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Rajeeva L Karandikar, M Vidyasagar, “Rates of uniform convergence of empirical means with mixing processes”, Statistics & Probability Letters, 58:3 (2002), 297
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Shahar Mendelson, Roman Vershynin, Lecture Notes in Computer Science, 2375, Computational Learning Theory, 2002, 14
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Magda Peligrad, “Some remarks on coupling of dependent random variables”, Statistics & Probability Letters, 60:2 (2002), 201
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M. Vidyasagar, “Randomized algorithms for robust controller synthesis using statistical learning theory”, Automatica, 37:10 (2001), 1515
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R.C. Williamson, A.J. Smola, B. Scholkopf, “Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators”, IEEE Trans. Inform. Theory, 47:6 (2001), 2516
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Shahar Mendelson, Lecture Notes in Computer Science, 2111, Computational Learning Theory, 2001, 256
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M. Vidyasagar, S. Balaji, B. Hammer, “Closure properties of uniform convergence of empirical means and PAC learnability under a family of probability measures”, Systems & Control Letters, 42:2 (2001), 151
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M. Vidyasagar, “Randomized Algorithms for Robust Controller Synthesis Using Statistical Learning Theory: A Tutorial Overview”, European Journal of Control, 7:2-3 (2001), 287
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M.C. Campi, M. Vidyasagar, “Learning with prior information”, IEEE Trans. Automat. Contr., 46:11 (2001), 1682
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M. Vidyasagar, S.R. Kulkarni, “Some contributions to fixed-distribution learning theory”, IEEE Trans. Automat. Contr., 45:2 (2000), 217