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Avrim Blum: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Avrim Blum, Joel Spencer
    Coloring Random and Semi-Random k-Colorable Graphs. [Citation Graph (2, 0)][DBLP]
    J. Algorithms, 1995, v:19, n:2, pp:204-234 [Journal]
  2. Avrim Blum, Merrick L. Furst
    Fast Planning Through Planning Graph Analysis. [Citation Graph (1, 0)][DBLP]
    Artif. Intell., 1997, v:90, n:1-2, pp:281-300 [Journal]
  3. Maria-Florina Balcan, Avrim Blum, Santosh Vempala
    On Kernels, Margins, and Low-Dimensional Mappings. [Citation Graph (0, 0)][DBLP]
    ALT, 2004, pp:194-205 [Conf]
  4. Ke Yang, Avrim Blum
    On Statistical Query Sampling and NMR Quantum Computing. [Citation Graph (0, 0)][DBLP]
    IEEE Conference on Computational Complexity, 2003, pp:194-0 [Conf]
  5. Avrim Blum
    Learning a Function of r Relevant Variables. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:731-733 [Conf]
  6. Avrim Blum
    Separating PAC and Mistake-Bound Learning Models Over the Boolean Domain (Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1990, pp:393- [Conf]
  7. Avrim Blum, Carl Burch
    On-line Learning and the Metrical Task System Problem. [Citation Graph (0, 0)][DBLP]
    COLT, 1997, pp:45-53 [Conf]
  8. Avrim Blum, Prasad Chalasani
    Learning Switching Concepts. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:231-242 [Conf]
  9. Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim
    Learning with Unreliable Boundary Queries. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:98-107 [Conf]
  10. Avrim Blum, Prasad Chalasani, Jeffrey Jackson
    On Learning Embedded Symmetric Concepts. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:337-346 [Conf]
  11. Avrim Blum, Lisa Hellerstein, Nick Littlestone
    Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes. [Citation Graph (0, 0)][DBLP]
    COLT, 1991, pp:157-166 [Conf]
  12. Maria-Florina Balcan, Avrim Blum
    A PAC-Style Model for Learning from Labeled and Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:111-126 [Conf]
  13. Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, Martin Zinkevich
    Preference Elicitation and Query Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:13-25 [Conf]
  14. Avrim Blum, Adam Kalai
    Universal Portfolios With and Without Transaction Costs. [Citation Graph (0, 0)][DBLP]
    COLT, 1997, pp:309-313 [Conf]
  15. Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth
    On Learning Read-k-Satisfy-j DNF. [Citation Graph (0, 0)][DBLP]
    COLT, 1994, pp:110-117 [Conf]
  16. Avrim Blum, Adam Kalai, John Langford
    Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:203-208 [Conf]
  17. Avrim Blum, John Langford
    PAC-MDL Bounds. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:344-357 [Conf]
  18. Avrim Blum, Yishay Mansour
    From External to Internal Regret. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:621-636 [Conf]
  19. Avrim Blum, Tom M. Mitchell
    Combining Labeled and Unlabeled Sata with Co-Training. [Citation Graph (0, 0)][DBLP]
    COLT, 1998, pp:92-100 [Conf]
  20. Avrim Blum, Ronald L. Rivest
    Training a 3-Node Neural Network is NP-Complete. [Citation Graph (0, 0)][DBLP]
    COLT, 1988, pp:9-18 [Conf]
  21. Avrim Blum, Mona Singh
    Learning Functions of k Terms. [Citation Graph (0, 0)][DBLP]
    COLT, 1990, pp:144-153 [Conf]
  22. John Langford, Avrim Blum
    Microchoice Bounds and Self Bounding Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:209-214 [Conf]
  23. H. Brendan McMahan, Avrim Blum
    Online Geometric Optimization in the Bandit Setting Against an Adaptive Adversary. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:109-123 [Conf]
  24. Avrim Blum, Merrick L. Furst, Michael J. Kearns, Richard J. Lipton
    Cryptographic Primitives Based on Hard Learning Problems. [Citation Graph (0, 0)][DBLP]
    CRYPTO, 1993, pp:278-291 [Conf]
  25. Avrim Blum
    On-line Algorithms in Machine Learning. [Citation Graph (0, 0)][DBLP]
    Online Algorithms, 1996, pp:306-325 [Conf]
  26. Avrim Blum, John Langford
    Probabilistic Planning in the Graphplan Framework. [Citation Graph (0, 0)][DBLP]
    ECP, 1999, pp:319-332 [Conf]
  27. Nikhil Bansal, Avrim Blum, Shuchi Chawla, Kedar Dhamdhere
    Scheduling for Flow-Time with Admission Control. [Citation Graph (0, 0)][DBLP]
    ESA, 2003, pp:43-54 [Conf]
  28. Maria-Florina Balcan, Avrim Blum, Jason D. Hartline, Yishay Mansour
    Mechanism Design via Machine Learning. [Citation Graph (0, 0)][DBLP]
    FOCS, 2005, pp:605-614 [Conf]
  29. Nikhil Bansal, Avrim Blum, Shuchi Chawla
    Correlation Clustering. [Citation Graph (0, 0)][DBLP]
    FOCS, 2002, pp:238-0 [Conf]
  30. Avrim Blum
    Machine Learning: My Favorite Results, Directions, and Open Problems. [Citation Graph (0, 0)][DBLP]
    FOCS, 2003, pp:2-0 [Conf]
  31. Avrim Blum
    Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain [Citation Graph (0, 0)][DBLP]
    FOCS, 1990, pp:211-218 [Conf]
  32. Avrim Blum
    Some Tools for Approximate 3-Coloring (Extended Abstract) [Citation Graph (0, 0)][DBLP]
    FOCS, 1990, pp:554-562 [Conf]
  33. Avrim Blum, Carl Burch, Adam Kalai
    Finely-Competitive Paging. [Citation Graph (0, 0)][DBLP]
    FOCS, 1999, pp:450-458 [Conf]
  34. Avrim Blum, Carl Burch, John Langford
    On Learning Monotone Boolean Functions. [Citation Graph (0, 0)][DBLP]
    FOCS, 1998, pp:408-415 [Conf]
  35. Avrim Blum, Prasad Chalasani
    An On-Line Algorithm for Improving Performance in Navigation [Citation Graph (0, 0)][DBLP]
    FOCS, 1993, pp:2-11 [Conf]
  36. Avrim Blum, Shuchi Chawla, David R. Karger, Terran Lane, Adam Meyerson, Maria Minkoff
    Approximation Algorithms for Orienteering and Discounted-Reward TSP. [Citation Graph (0, 0)][DBLP]
    FOCS, 2003, pp:46-55 [Conf]
  37. Avrim Blum, Alan M. Frieze, Ravi Kannan, Santosh Vempala
    A Polynomial-Time Algorithm for Learning Noisy Linear Threshold Functions. [Citation Graph (0, 0)][DBLP]
    FOCS, 1996, pp:330-338 [Conf]
  38. Avrim Blum, Ravi Kannan
    Learning an Intersection of k Halfspaces over a Uniform Distribution [Citation Graph (0, 0)][DBLP]
    FOCS, 1993, pp:312-320 [Conf]
  39. Avrim Blum, Howard J. Karloff, Yuval Rabani, Michael E. Saks
    A Decomposition Theorem and Bounds for Randomized Server Problems [Citation Graph (0, 0)][DBLP]
    FOCS, 1992, pp:197-207 [Conf]
  40. Maria-Florina Balcan, Avrim Blum
    On a theory of learning with similarity functions. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:73-80 [Conf]
  41. Avrim Blum
    Empirical Support for Winnow and Weighted-Majority Based Algorithms: Results on a Calendar Scheduling Domain. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:64-72 [Conf]
  42. Avrim Blum, Shuchi Chawla
    Learning from Labeled and Unlabeled Data using Graph Mincuts. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:19-26 [Conf]
  43. Avrim Blum, John D. Lafferty, Mugizi Robert Rwebangira, Rajashekar Reddy
    Semi-supervised learning using randomized mincuts. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  44. H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
    Planning in the Presence of Cost Functions Controlled by an Adversary. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:536-543 [Conf]
  45. Joseph O'Sullivan, John Langford, Rich Caruana, Avrim Blum
    FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:703-710 [Conf]
  46. Avrim Blum, Merrick L. Furst
    Fast Planning Through Planning Graph Analysis. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1636-1642 [Conf]
  47. Shobha Venkataraman, Dawn Xiaodong Song, Phillip B. Gibbons, Avrim Blum
    New Streaming Algorithms for Fast Detection of Superspreaders. [Citation Graph (0, 0)][DBLP]
    NDSS, 2005, pp:- [Conf]
  48. Maria-Florina Balcan, Avrim Blum, Ke Yang
    Co-Training and Expansion: Towards Bridging Theory and Practice. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  49. Avrim Blum, Ronald L. Rivest
    Training a 3-Node Neural Network is NP-Complete. [Citation Graph (0, 0)][DBLP]
    NIPS, 1988, pp:494-501 [Conf]
  50. Avrim Blum, Eyal Even-Dar, Katrina Ligett
    Routing without regret: on convergence to nash equilibria of regret-minimizing algorithms in routing games. [Citation Graph (0, 0)][DBLP]
    PODC, 2006, pp:45-52 [Conf]
  51. Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim
    Practical privacy: the SuLQ framework. [Citation Graph (0, 0)][DBLP]
    PODS, 2005, pp:128-138 [Conf]
  52. Avrim Blum, Dawn Xiaodong Song, Shobha Venkataraman
    Detection of Interactive Stepping Stones: Algorithms and Confidence Bounds. [Citation Graph (0, 0)][DBLP]
    RAID, 2004, pp:258-277 [Conf]
  53. Avrim Blum, Ronald L. Rivest
    Training a 3-Node Neural Network is NP-Complete. [Citation Graph (0, 0)][DBLP]
    Machine Learning: From Theory to Applications, 1993, pp:9-28 [Conf]
  54. Maria-Florina Balcan, Avrim Blum
    Approximation algorithms and online mechanisms for item pricing. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Electronic Commerce, 2006, pp:29-35 [Conf]
  55. Martin Zinkevich, Avrim Blum, Tuomas Sandholm
    On polynomial-time preference elicitation with value queries. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Electronic Commerce, 2003, pp:176-185 [Conf]
  56. Avrim Blum
    Random Projection, Margins, Kernels, and Feature-Selection. [Citation Graph (0, 0)][DBLP]
    SLSFS, 2005, pp:52-68 [Conf]
  57. Piotr Berman, Avrim Blum, Amos Fiat, Howard J. Karloff, Adi Rosén, Michael E. Saks
    Randomized Robot Navigation Algorithms. [Citation Graph (0, 0)][DBLP]
    SODA, 1996, pp:75-84 [Conf]
  58. Avrim Blum, Shuchi Chawla, Adam Kalai
    Static optimality and dynamic search-optimality in lists and trees. [Citation Graph (0, 0)][DBLP]
    SODA, 2002, pp:1-8 [Conf]
  59. Avrim Blum, John Dunagan
    Smoothed analysis of the perceptron algorithm for linear programming. [Citation Graph (0, 0)][DBLP]
    SODA, 2002, pp:905-914 [Conf]
  60. Avrim Blum, Jason D. Hartline
    Near-optimal online auctions. [Citation Graph (0, 0)][DBLP]
    SODA, 2005, pp:1156-1163 [Conf]
  61. Avrim Blum, Vijay Kumar, Atri Rudra, Felix Wu
    Online learning in online auctions. [Citation Graph (0, 0)][DBLP]
    SODA, 2003, pp:202-204 [Conf]
  62. Avrim Blum, Tuomas Sandholm, Martin Zinkevich
    Online algorithms for market clearing. [Citation Graph (0, 0)][DBLP]
    SODA, 2002, pp:971-980 [Conf]
  63. Yossi Azar, Avrim Blum, Yishay Mansour
    Combining online algorithms for rejection and acceptance. [Citation Graph (0, 0)][DBLP]
    SPAA, 2003, pp:159-163 [Conf]
  64. Nikhil Bansal, Avrim Blum, Shuchi Chawla, Adam Meyerson
    Online oblivious routing. [Citation Graph (0, 0)][DBLP]
    SPAA, 2003, pp:44-49 [Conf]
  65. Baruch Awerbuch, Yossi Azar, Avrim Blum, Santosh Vempala
    Improved approximation guarantees for minimum-weight k-trees and prize-collecting salesmen. [Citation Graph (0, 0)][DBLP]
    STOC, 1995, pp:277-283 [Conf]
  66. Nikhil Bansal, Avrim Blum, Shuchi Chawla, Adam Meyerson
    Approximation algorithms for deadline-TSP and vehicle routing with time-windows. [Citation Graph (0, 0)][DBLP]
    STOC, 2004, pp:166-174 [Conf]
  67. Yair Bartal, Avrim Blum, Carl Burch, Andrew Tomkins
    A polylog(n)-Competitive Algorithm for Metrical Task Systems. [Citation Graph (0, 0)][DBLP]
    STOC, 1997, pp:711-719 [Conf]
  68. Avrim Blum
    An \tildeO(n^0.4)-Approximation Algorithm for 3-Coloring (and Improved Approximation Algorithm for k-Coloring) [Citation Graph (0, 0)][DBLP]
    STOC, 1989, pp:535-542 [Conf]
  69. Avrim Blum
    Learning Boolean Functions in an Infinite Atribute Space (Extended Abstract) [Citation Graph (0, 0)][DBLP]
    STOC, 1990, pp:64-72 [Conf]
  70. Avrim Blum, Prasad Chalasani, Don Coppersmith, William R. Pulleyblank, Prabhakar Raghavan, Madhu Sudan
    The minimum latency problem. [Citation Graph (0, 0)][DBLP]
    STOC, 1994, pp:163-171 [Conf]
  71. Avrim Blum, Prasad Chalasani, Santosh Vempala
    A constant-factor approximation for the k-MST problem in the plane. [Citation Graph (0, 0)][DBLP]
    STOC, 1995, pp:294-302 [Conf]
  72. Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, Michael J. Kearns, Yishay Mansour, Steven Rudich
    Weakly learning DNF and characterizing statistical query learning using Fourier analysis. [Citation Graph (0, 0)][DBLP]
    STOC, 1994, pp:253-262 [Conf]
  73. Avrim Blum, Tao Jiang, Ming Li, John Tromp, Mihalis Yannakakis
    Linear Approximation of Shortest Superstrings [Citation Graph (0, 0)][DBLP]
    STOC, 1991, pp:328-336 [Conf]
  74. Avrim Blum, Goran Konjevod, R. Ravi, Santosh Vempala
    Semi-Definite Relaxations for Minimum Bandwidth and other Vertex-Ordering Problems. [Citation Graph (0, 0)][DBLP]
    STOC, 1998, pp:100-105 [Conf]
  75. Avrim Blum, Adam Kalai, Hal Wasserman
    Noise-tolerant learning, the parity problem, and the statistical query model. [Citation Graph (0, 0)][DBLP]
    STOC, 2000, pp:435-440 [Conf]
  76. Avrim Blum, Steven Rudich
    Fast Learning of k-Term DNF Formulas with Queries [Citation Graph (0, 0)][DBLP]
    STOC, 1992, pp:382-389 [Conf]
  77. Avrim Blum, Prabhakar Raghavan, Baruch Schieber
    Navigating in Unfamiliar Geometric Terrain (Preliminary Version) [Citation Graph (0, 0)][DBLP]
    STOC, 1991, pp:494-504 [Conf]
  78. Avrim Blum, R. Ravi, Santosh Vempala
    A Constant-factor Approximation Algorithm for the k MST Problem (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    STOC, 1996, pp:442-448 [Conf]
  79. Avrim Blum, Adam Kalai, Jon M. Kleinberg
    Admission Control to Minimize Rejections. [Citation Graph (0, 0)][DBLP]
    WADS, 2001, pp:155-164 [Conf]
  80. Avrim Blum, Pat Langley
    Selection of Relevant Features and Examples in Machine Learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1997, v:97, n:1-2, pp:245-271 [Journal]
  81. Avrim Blum, Shuchi Chawla, Adam Kalai
    Static Optimality and Dynamic Search-Optimality in Lists and Trees. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 2003, v:36, n:3, pp:249-260 [Journal]
  82. Avrim Blum, Alan M. Frieze, Ravi Kannan, Santosh Vempala
    A Polynomial-Time Algorithm for Learning Noisy Linear Threshold Functions. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 1998, v:22, n:1/2, pp:35-52 [Journal]
  83. Avrim Blum, Adam Kalai, Hal Wasserman
    Noise-Tolerant Learning, the Parity Problem, and the Statistical Query Model [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  84. Avrim Blum, Ke Yang
    On Statistical Query Sampling and NMR Quantum Computing [Citation Graph (0, 0)][DBLP]
    Electronic Colloquium on Computational Complexity (ECCC), 2003, v:10, n:014, pp:- [Journal]
  85. Avrim Blum
    Rank-r Decision Trees are a Subclass of r-Decision Lists. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1992, v:42, n:4, pp:183-185 [Journal]
  86. Avrim Blum, David R. Karger
    An Õ(n^{3/14})-Coloring Algorithm for 3-Colorable Graphs. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1997, v:61, n:1, pp:49-53 [Journal]
  87. Avrim Blum
    New Approximation Algorithms for Graph Coloring. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1994, v:41, n:3, pp:470-516 [Journal]
  88. Avrim Blum, Adam Kalai, Hal Wasserman
    Noise-tolerant learning, the parity problem, and the statistical query model. [Citation Graph (0, 0)][DBLP]
    J. ACM, 2003, v:50, n:4, pp:506-519 [Journal]
  89. Avrim Blum, Ming Li, John Tromp, Mihalis Yannakakis
    Linear Approximation of Shortest Superstrings. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1994, v:41, n:4, pp:630-647 [Journal]
  90. Avrim Blum, Tuomas Sandholm, Martin Zinkevich
    Online algorithms for market clearing. [Citation Graph (0, 0)][DBLP]
    J. ACM, 2006, v:53, n:5, pp:845-879 [Journal]
  91. Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim
    Learning with Unreliable Boundary Queries. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1998, v:56, n:2, pp:209-222 [Journal]
  92. Avrim Blum, Lisa Hellerstein, Nick Littlestone
    Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1995, v:50, n:1, pp:32-40 [Journal]
  93. Avrim Blum, Ravindran Kannan
    Learning an Intersection of a Constant Number of Halfspaces over a Uniform Distribution. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1997, v:54, n:2, pp:371-380 [Journal]
  94. Avrim Blum, Steven Rudich
    Fast Learning of k-Term DNF Formulas with Queries. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1995, v:51, n:3, pp:367-373 [Journal]
  95. Avrim Blum, R. Ravi, Santosh Vempala
    A Constant-Factor Approximation Algorithm for the k-MST Problem. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1999, v:58, n:1, pp:101-108 [Journal]
  96. Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, Martin Zinkevich
    Preference Elicitation and Query Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:649-667 [Journal]
  97. Avrim Blum, Adam Kalai
    Universal Portfolios With and Without Transaction Costs. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:35, n:3, pp:193-205 [Journal]
  98. Nikhil Bansal, Avrim Blum, Shuchi Chawla
    Correlation Clustering. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:56, n:1-3, pp:89-113 [Journal]
  99. Avrim Blum
    Learning Boolean Functions in an Infinite Attribute Space. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:373-386 [Journal]
  100. Avrim Blum
    Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:26, n:1, pp:5-23 [Journal]
  101. Avrim Blum, Carl Burch
    On-line Learning and the Metrical Task System Problem. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:39, n:1, pp:35-58 [Journal]
  102. Avrim Blum, Adam Kalai
    A Note on Learning from Multiple-Instance Examples. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:30, n:1, pp:23-29 [Journal]
  103. John Langford, Avrim Blum
    Microchoice Bounds and Self Bounding Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:51, n:2, pp:165-179 [Journal]
  104. Maria-Florina Balcan, Avrim Blum, Santosh Vempala
    Kernels as features: On kernels, margins, and low-dimensional mappings. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:65, n:1, pp:79-94 [Journal]
  105. Avrim Blum, Ronald L. Rivest
    Training a 3-node neural network is NP-complete. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:1, pp:117-127 [Journal]
  106. Howard Aizenstein, Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth
    On Learning Read-k-Satisfy-j DNF. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1998, v:27, n:6, pp:1515-1530 [Journal]
  107. Baruch Awerbuch, Yossi Azar, Avrim Blum, Santosh Vempala
    New Approximation Guarantees for Minimum-Weight k-Trees and Prize-Collecting Salesmen. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1998, v:28, n:1, pp:254-262 [Journal]
  108. Avrim Blum
    Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1994, v:23, n:5, pp:990-1000 [Journal]
  109. Avrim Blum, Prasad Chalasani
    An Online Algorithm for Improving Performance in Navigation. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2000, v:29, n:6, pp:1907-1938 [Journal]
  110. Avrim Blum, Howard J. Karloff, Yuval Rabani, Michael E. Saks
    A Decomposition Theorem for Task Systems and Bounds for Randomized Server Problems. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2000, v:30, n:5, pp:1624-1661 [Journal]
  111. Avrim Blum, Prabhakar Raghavan, Baruch Schieber
    Navigating in Unfamiliar Geometric Terrain. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1997, v:26, n:1, pp:110-137 [Journal]
  112. Joseph S. B. Mitchell, Avrim Blum, Prasad Chalasani, Santosh Vempala
    A Constant-Factor Approximation Algorithm for the Geometric k-MST Problem in the Plane. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1998, v:28, n:3, pp:771-781 [Journal]
  113. Avrim Blum, Goran Konjevod, R. Ravi, Santosh Vempala
    Semi-definite relaxations for minimum bandwidth and other vertex-ordering problems. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2000, v:235, n:1, pp:25-42 [Journal]
  114. Avrim Blum, Vijay Kumar, Atri Rudra, Felix Wu
    Online learning in online auctions. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2004, v:324, n:2-3, pp:137-146 [Journal]
  115. Avrim Blum
    A Theory of Similarity Functions for Learning and Clustering. [Citation Graph (0, 0)][DBLP]
    ALT, 2007, pp:9- [Conf]
  116. Avrim Blum, Maria-Florina Balcan
    Open Problems in Efficient Semi-supervised PAC Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:622-624 [Conf]
  117. Avrim Blum
    A Theory of Similarity Functions for Learning and Clustering. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2007, pp:39- [Conf]
  118. David J. Abraham, Avrim Blum, Tuomas Sandholm
    Clearing algorithms for barter exchange markets: enabling nationwide kidney exchanges. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Electronic Commerce, 2007, pp:295-304 [Conf]
  119. Avrim Blum, Shuchi Chawla, David R. Karger, Terran Lane, Adam Meyerson, Maria Minkoff
    Approximation Algorithms for Orienteering and Discounted-Reward TSP. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2007, v:37, n:2, pp:653-670 [Journal]

  120. Clustering with Interactive Feedback. [Citation Graph (, )][DBLP]


  121. Improved Guarantees for Learning via Similarity Functions. [Citation Graph (, )][DBLP]


  122. Veritas: Combining Expert Opinions without Labeled Data. [Citation Graph (, )][DBLP]


  123. Separating Populations with Wide Data: A Spectral Analysis. [Citation Graph (, )][DBLP]


  124. Limits of Learning-based Signature Generation with Adversaries. [Citation Graph (, )][DBLP]


  125. Item pricing for revenue maximization. [Citation Graph (, )][DBLP]


  126. The price of uncertainty. [Citation Graph (, )][DBLP]


  127. Improved equilibria via public service advertising. [Citation Graph (, )][DBLP]


  128. Approximate clustering without the approximation. [Citation Graph (, )][DBLP]


  129. Regret minimization and the price of total anarchy. [Citation Graph (, )][DBLP]


  130. A learning theory approach to non-interactive database privacy. [Citation Graph (, )][DBLP]


  131. A discriminative framework for clustering via similarity functions. [Citation Graph (, )][DBLP]


  132. A Theory of Loss-Leaders: Making Money by Pricing Below Cost. [Citation Graph (, )][DBLP]


  133. Circumventing the Price of Anarchy: Leading Dynamics to Good Behavior. [Citation Graph (, )][DBLP]


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