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Rocco A. Servedio: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Alp Atici, Rocco A. Servedio
    Learning Unions of omega(1)-Dimensional Rectangles. [Citation Graph (0, 0)][DBLP]
    ALT, 2006, pp:32-47 [Conf]
  2. Rocco A. Servedio
    On Learning Embedded Midbit Functions. [Citation Graph (0, 0)][DBLP]
    ALT, 2002, pp:69-82 [Conf]
  3. Jeffrey C. Jackson, Rocco A. Servedio
    On Learning Random DNF Formulas Under the Uniform Distribution. [Citation Graph (0, 0)][DBLP]
    APPROX-RANDOM, 2005, pp:342-353 [Conf]
  4. Rocco A. Servedio
    Every Linear Threshold Function has a Low-Weight Approximator. [Citation Graph (0, 0)][DBLP]
    IEEE Conference on Computational Complexity, 2006, pp:18-32 [Conf]
  5. Jeffrey C. Jackson, Adam Klivans, Rocco A. Servedio
    Learnability beyond AC0. [Citation Graph (0, 0)][DBLP]
    IEEE Conference on Computational Complexity, 2002, pp:26- [Conf]
  6. Ryan O'Donnell, Rocco A. Servedio
    Extremal properties of polynomial threshold functions. [Citation Graph (0, 0)][DBLP]
    IEEE Conference on Computational Complexity, 2003, pp:3-12 [Conf]
  7. Ryan O'Donnell, Rocco A. Servedio
    Learning Monotone Decision Trees in Polynomial Time. [Citation Graph (0, 0)][DBLP]
    IEEE Conference on Computational Complexity, 2006, pp:213-225 [Conf]
  8. Rocco A. Servedio, Steven J. Gortler
    Quantum versus Classical Learnability. [Citation Graph (0, 0)][DBLP]
    IEEE Conference on Computational Complexity, 2001, pp:138-148 [Conf]
  9. Marta Arias, Roni Khardon, Rocco A. Servedio
    Polynomial Certificates for Propositional Classes. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:537-551 [Conf]
  10. Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andrew Wan
    Separating Models of Learning from Correlated and Uncorrelated Data. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:637-651 [Conf]
  11. Jon Feldman, Rocco A. Servedio, Ryan O'Donnell
    PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumption. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:20-34 [Conf]
  12. Jeffrey C. Jackson, Rocco A. Servedio
    Learning Random Log-Depth Decision Trees under the Uniform Distribution. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:610-624 [Conf]
  13. Roni Khardon, Rocco A. Servedio
    Maximum Margin Algorithms with Boolean Kernels. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:87-101 [Conf]
  14. Adam R. Klivans, Rocco A. Servedio
    Learning Intersections of Halfspaces with a Margin. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:348-362 [Conf]
  15. Adam R. Klivans, Rocco A. Servedio
    Perceptron-Like Performance for Intersections of Halfspaces. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:639-640 [Conf]
  16. Adam R. Klivans, Rocco A. Servedio
    Toward Attribute Efficient Learning of Decision Lists and Parities. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:224-238 [Conf]
  17. Homin K. Lee, Rocco A. Servedio, Andrew Wan
    DNF Are Teachable in the Average Case. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:214-228 [Conf]
  18. Philip M. Long, Rocco A. Servedio
    Martingale Boosting. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:79-94 [Conf]
  19. Philip M. Long, Rocco A. Servedio
    Discriminative Learning Can Succeed Where Generative Learning Fails. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:319-334 [Conf]
  20. Rocco A. Servedio
    PAC Analogues of Perceptron and Winnow via Boosting the Margin. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:148-157 [Conf]
  21. Rocco A. Servedio
    Smooth Boosting and Learning with Malicious Noise. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:473-489 [Conf]
  22. Rocco A. Servedio
    On Learning Monotone DNF under Product Distributions. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:558-573 [Conf]
  23. Rocco A. Servedio
    On PAC Learning Using Winnow, Perceptron, and a Perceptron-like Algorithm. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:296-307 [Conf]
  24. Nader H. Bshouty, Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
    Learning DNF from Random Walks. [Citation Graph (0, 0)][DBLP]
    FOCS, 2003, pp:189-0 [Conf]
  25. Adam Tauman Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio
    Agnostically Learning Halfspaces. [Citation Graph (0, 0)][DBLP]
    FOCS, 2005, pp:11-20 [Conf]
  26. Adam Klivans, Ryan O'Donnell, Rocco A. Servedio
    Learning Intersections and Thresholds of Halfspaces. [Citation Graph (0, 0)][DBLP]
    FOCS, 2002, pp:177-186 [Conf]
  27. Adam Klivans, Rocco A. Servedio
    Boosting and Hard-Core Sets. [Citation Graph (0, 0)][DBLP]
    FOCS, 1999, pp:624-633 [Conf]
  28. Ryan O'Donnell, Michael E. Saks, Oded Schramm, Rocco A. Servedio
    Every decision tree has an in.uential variable. [Citation Graph (0, 0)][DBLP]
    FOCS, 2005, pp:31-39 [Conf]
  29. Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
    Learning mixtures of product distributions over discrete domains. [Citation Graph (0, 0)][DBLP]
    FOCS, 2005, pp:501-510 [Conf]
  30. Rocco A. Servedio
    Separating Quantum and Classical Learning. [Citation Graph (0, 0)][DBLP]
    ICALP, 2001, pp:1065-1080 [Conf]
  31. Philip M. Long, Vinay Varadan, Sarah Gilman, Mark Treshock, Rocco A. Servedio
    Unsupervised evidence integration. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:521-528 [Conf]
  32. Roni Khardon, Dan Roth, Rocco A. Servedio
    Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:423-430 [Conf]
  33. Jeffrey C. Jackson, Adam Klivans, Rocco A. Servedio
    Learnability beyond AC0. [Citation Graph (0, 0)][DBLP]
    STOC, 2002, pp:776-784 [Conf]
  34. Adam Kalai, Rocco A. Servedio
    Boosting in the presence of noise. [Citation Graph (0, 0)][DBLP]
    STOC, 2003, pp:195-205 [Conf]
  35. Adam Klivans, Rocco A. Servedio
    Learning DNF in time 2Õ(n1/3). [Citation Graph (0, 0)][DBLP]
    STOC, 2001, pp:258-265 [Conf]
  36. Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
    Learning juntas. [Citation Graph (0, 0)][DBLP]
    STOC, 2003, pp:206-212 [Conf]
  37. Ryan O'Donnell, Rocco A. Servedio
    New degree bounds for polynomial threshold functions. [Citation Graph (0, 0)][DBLP]
    STOC, 2003, pp:325-334 [Conf]
  38. Ronitt Rubinfeld, Rocco A. Servedio
    Testing monotone high-dimensional distributions. [Citation Graph (0, 0)][DBLP]
    STOC, 2005, pp:147-156 [Conf]
  39. Rocco A. Servedio
    Computational Sample Complexity and Attribute-Efficient Learning. [Citation Graph (0, 0)][DBLP]
    STOC, 1999, pp:701-710 [Conf]
  40. Rocco A. Servedio
    On PAC Learning Algorithms for Rich Boolean Function Classes. [Citation Graph (0, 0)][DBLP]
    TAMC, 2006, pp:442-451 [Conf]
  41. Adam R. Klivans, Rocco A. Servedio
    Toward Attribute Efficient Learning Algorithms [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  42. Alp Atici, Rocco A. Servedio
    Improved Bounds on Quantum Learning Algorithms [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  43. Rocco A. Servedio
    Monotone Boolean formulas can approximate monotone linear threshold functions. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 2004, v:142, n:1-3, pp:181-187 [Journal]
  44. Rocco A. Servedio
    On Learning Monotone DNF under Product Distributions [Citation Graph (0, 0)][DBLP]
    Electronic Colloquium on Computational Complexity (ECCC), 2001, v:8, n:6, pp:- [Journal]
  45. Rocco A. Servedio
    On learning monotone DNF under product distributions. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 2004, v:193, n:1, pp:57-74 [Journal]
  46. Marta Arias, Aaron Feigelson, Roni Khardon, Rocco A. Servedio
    Polynomial certificates for propositional classes. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 2006, v:204, n:5, pp:816-834 [Journal]
  47. Rocco A. Servedio
    On the limits of efficient teachability. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 2001, v:79, n:6, pp:267-272 [Journal]
  48. Rocco A. Servedio, Andrew Wan
    Computing sparse permanents faster. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 2005, v:96, n:3, pp:89-92 [Journal]
  49. Nader H. Bshouty, Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
    Learning DNF from random walks. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2005, v:71, n:3, pp:250-265 [Journal]
  50. Adam Tauman Kalai, Rocco A. Servedio
    Boosting in the presence of noise. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2005, v:71, n:3, pp:266-290 [Journal]
  51. Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio
    Learning intersections and thresholds of halfspaces. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2004, v:68, n:4, pp:808-840 [Journal]
  52. Adam R. Klivans, Rocco A. Servedio
    Learning DNF in time 2Õ(n1/3). [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2004, v:68, n:2, pp:303-318 [Journal]
  53. Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
    Learning functions of k relevant variables. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2004, v:69, n:3, pp:421-434 [Journal]
  54. Rocco A. Servedio
    Computational Sample Complexity and Attribute-Efficient Learning. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2000, v:60, n:1, pp:161-178 [Journal]
  55. Rocco A. Servedio
    Smooth Boosting and Learning with Malicious Noise. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:633-648 [Journal]
  56. Roni Khardon, Rocco A. Servedio
    Maximum Margin Algorithms with Boolean Kernels. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1405-1429 [Journal]
  57. Adam R. Klivans, Rocco A. Servedio
    Toward Attribute Efficient Learning of Decision Lists and Parities. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:587-602 [Journal]
  58. Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andrew Wan
    Separating Models of Learning from Correlated and Uncorrelated Data. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:277-290 [Journal]
  59. Adam R. Klivans, Rocco A. Servedio
    Boosting and Hard-Core Set Construction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:51, n:3, pp:217-238 [Journal]
  60. Rocco A. Servedio
    PAC Analogues of Perceptron and Winnow Via Boosting the Margin. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:47, n:2-3, pp:133-151 [Journal]
  61. Jeffrey C. Jackson, Rocco A. Servedio
    Learning Random Log-Depth Decision Trees under Uniform Distribution. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2005, v:34, n:5, pp:1107-1128 [Journal]
  62. Rocco A. Servedio
    Perceptron, Winnow, and PAC Learning. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2002, v:31, n:5, pp:1358-1369 [Journal]
  63. Rocco A. Servedio, Steven J. Gortler
    Equivalences and Separations Between Quantum and Classical Learnability. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2004, v:33, n:5, pp:1067-1092 [Journal]
  64. Rocco A. Servedio
    On learning embedded midbit functions. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2006, v:350, n:1, pp:13-23 [Journal]
  65. Jon Feldman, Tal Malkin, Rocco A. Servedio, Clifford Stein, Martin J. Wainwright
    LP Decoding Corrects a Constant Fraction of Errors. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2007, v:53, n:1, pp:82-89 [Journal]
  66. Marcus Hutter, Rocco A. Servedio, Eiji Takimoto
    Editors' Introduction. [Citation Graph (0, 0)][DBLP]
    ALT, 2007, pp:1-8 [Conf]
  67. Dana Glasner, Rocco A. Servedio
    Distribution-Free Testing Lower Bounds for Basic Boolean Functions. [Citation Graph (0, 0)][DBLP]
    APPROX-RANDOM, 2007, pp:494-508 [Conf]
  68. Michael O. Rabin, Rocco A. Servedio, Christopher Thorpe
    Highly Efficient Secrecy-Preserving Proofs of Correctness of Computations and Applications. [Citation Graph (0, 0)][DBLP]
    LICS, 2007, pp:63-76 [Conf]
  69. Philip M. Long, Rocco A. Servedio
    Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:921-928 [Conf]
  70. Rocco A. Servedio
    Every Linear Threshold Function has a Low-Weight Approximator. [Citation Graph (0, 0)][DBLP]
    Computational Complexity, 2007, v:16, n:2, pp:180-209 [Journal]
  71. Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
    PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  72. Alp Atici, Rocco A. Servedio
    Quantum Algorithms for Learning and Testing Juntas [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  73. Philip M. Long, Rocco A. Servedio, Hans-Ulrich Simon
    Discriminative learning can succeed where generative learning fails. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 2007, v:103, n:4, pp:131-135 [Journal]
  74. Roni Khardon, Dan Roth, Rocco A. Servedio
    Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2005, v:24, n:, pp:341-356 [Journal]
  75. Ryan O'Donnell, Rocco A. Servedio
    Learning Monotone Decision Trees in Polynomial Time. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2007, v:37, n:3, pp:827-844 [Journal]
  76. Lisa Hellerstein, Rocco A. Servedio
    On PAC learning algorithms for rich Boolean function classes. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2007, v:384, n:1, pp:66-76 [Journal]

  77. Testing ±1-weight halfspace. [Citation Graph (, )][DBLP]


  78. Learning Random Monotone DNF. [Citation Graph (, )][DBLP]


  79. Learning and Lower Bounds for AC0 with Threshold Gates. [Citation Graph (, )][DBLP]


  80. Improved Approximation of Linear Threshold Functions. [Citation Graph (, )][DBLP]


  81. A Regularity Lemma, and Low-Weight Approximators, for Low-Degree Polynomial Threshold Functions. [Citation Graph (, )][DBLP]


  82. Testing for Concise Representations. [Citation Graph (, )][DBLP]


  83. Learning Geometric Concepts via Gaussian Surface Area. [Citation Graph (, )][DBLP]


  84. Bounded Independence Fools Halfspaces. [Citation Graph (, )][DBLP]


  85. Efficiently Testing Sparse GF(2) Polynomials. [Citation Graph (, )][DBLP]


  86. Optimal Cryptographic Hardness of Learning Monotone Functions. [Citation Graph (, )][DBLP]


  87. Testing Fourier Dimensionality and Sparsity. [Citation Graph (, )][DBLP]


  88. Learning Halfspaces with Malicious Noise. [Citation Graph (, )][DBLP]


  89. Random classification noise defeats all convex potential boosters. [Citation Graph (, )][DBLP]


  90. Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate. [Citation Graph (, )][DBLP]


  91. One-Pass Boosting. [Citation Graph (, )][DBLP]


  92. Boosting the Area under the ROC Curve. [Citation Graph (, )][DBLP]


  93. Adaptive Martingale Boosting. [Citation Graph (, )][DBLP]


  94. Testing halfspaces. [Citation Graph (, )][DBLP]


  95. The chow parameters problem. [Citation Graph (, )][DBLP]


  96. Bounding the average sensitivity and noise sensitivity of polynomial threshold functions. [Citation Graph (, )][DBLP]


  97. Every decision tree has an influential variable [Citation Graph (, )][DBLP]


  98. Learning Unions of $\omega(1)$-Dimensional Rectangles [Citation Graph (, )][DBLP]


  99. Efficiently Testing Sparse GF(2) Polynomials [Citation Graph (, )][DBLP]


  100. Bounded Independence Fools Halfspaces [Citation Graph (, )][DBLP]


  101. A regularity lemma, and low-weight approximators, for low-degree polynomial threshold functions [Citation Graph (, )][DBLP]


  102. Average sensitivity and noise sensitivity of polynomial threshold functions [Citation Graph (, )][DBLP]


  103. Improved Approximation of Linear Threshold Functions [Citation Graph (, )][DBLP]


  104. Testing for Concise Representations. [Citation Graph (, )][DBLP]


  105. Testing Halfspaces. [Citation Graph (, )][DBLP]


  106. Learning Random Monotone DNF. [Citation Graph (, )][DBLP]


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