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David Wolpert: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. John W. Lawson, David Wolpert
    The Design of Collectives of Agents to Control Non-Markovian Systems. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:332-337 [Conf]
  2. Kagan Tumer, David Wolpert
    Collective Intelligence and Braess' Paradox. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:104-109 [Conf]
  3. David Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
    Adaptivity in agent-based routing for data networks. [Citation Graph (0, 0)][DBLP]
    Agents, 2000, pp:396-403 [Conf]
  4. David Wolpert, Kevin R. Wheeler, Kagan Tumer
    General Principles of Learning-Based Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
    Agents, 1999, pp:77-83 [Conf]
  5. Stéphane Airiau, Sandip Sen, David Wolpert, Kagan Tumer
    Providing Effective Access to Shared Resources: A COIN Approach. [Citation Graph (0, 0)][DBLP]
    Engineering Self-Organising Systems, 2003, pp:249-264 [Conf]
  6. Stefan Bieniawski, David Wolpert
    Adaptive, Distributed Control of Constrained Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:1230-1231 [Conf]
  7. Kagan Tumer, Adrian K. Agogino, David Wolpert
    Learning sequences of actions in collectives of autonomous agents. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:378-385 [Conf]
  8. David Wolpert, John W. Lawson
    Designing agent collectives for systems with Markovian dynamics. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:1066-1073 [Conf]
  9. Ron Kohavi, David Wolpert
    Bias Plus Variance Decomposition for Zero-One Loss Functions. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:275-283 [Conf]
  10. David Wolpert
    Horizonal Generalization. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:566-574 [Conf]
  11. David Wolpert, Joseph Sill, Kagan Tumer
    Reinforcement Learning in Distributed Domains: Beyond Team Games. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:819-824 [Conf]
  12. Padhraic Smyth, David Wolpert
    Anytime Exploratory Data Analysis for Massive Data Sets. [Citation Graph (0, 0)][DBLP]
    KDD, 1997, pp:54-60 [Conf]
  13. Padhraic Smyth, David Wolpert
    Stacked Density Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  14. David Wolpert
    On the Use of Evidence in Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:539-546 [Conf]
  15. David Wolpert
    Bayesian Backpropagation Over I-O Functions Rather Than Weights. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:200-207 [Conf]
  16. David Wolpert, Kagan Turner, Jeremy Frank
    Using Collective Intelligence to Route Internet Traffic. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:952-960 [Conf]
  17. Kagan Tumer, David Wolpert
    Collectives for the Optimal Combination of Imperfect Objects [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  18. David Wolpert
    Product Distribution Field Theory [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  19. David Wolpert
    Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  20. Kagan Tumer, David Wolpert
    Avoiding Braess' Paradox through Collective Intelligence [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  21. David Wolpert, Kagan Tumer, Jeremy Frank
    Using Collective Intelligence to Route Internet Traffic [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  22. David Wolpert, Kevin R. Wheeler, Kagan Tumer
    Collective Intelligence for Control of Distributed Dynamical Systems [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  23. David Wolpert, Kagan Tumer
    An Introduction to Collective Intelligence [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  24. David Wolpert, Stefan Bieniawski
    Distributed Control by Lagrangian Steepest Descent [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  25. David Wolpert, Kevin R. Wheeler, Kagan Tumer
    General Principles of Learning-Based Multi-Agent Systems [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  26. David Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
    Adaptivity in Agent-Based Routing for Data Networks [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  27. David Wolpert, Kagan Tumer, Esfandiar Bandari
    Improving Search Algorithms by Using Intelligent Coordinates [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  28. David Wolpert
    Metrics for more than two points at once [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  29. David Wolpert
    On the computational capabilities of physical systems part I: the impossibility of infallible computation [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  30. David Wolpert
    On the computational capabilities of physical systems part II: relationship with conventional computer science [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  31. David Wolpert, Kagan Tumer
    Collective Intelligence, Data Routing and Braess' Paradox. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2002, v:16, n:, pp:359-387 [Journal]
  32. Philip K. Chan, Salvatore J. Stolfo, David Wolpert
    Guest Editors' Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:36, n:1-2, pp:5-7 [Journal]
  33. Padhraic Smyth, David Wolpert
    Linearly Combining Density Estimators via Stacking. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:36, n:1-2, pp:59-83 [Journal]
  34. David Wolpert, William G. Macready
    An Efficient Method To Estimate Bagging's Generalization Error. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:35, n:1, pp:41-55 [Journal]
  35. David Wolpert
    On Bias Plus Variance. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:6, pp:1211-1243 [Journal]
  36. David Wolpert, William G. Macready
    No free lunch theorems for optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1997, v:1, n:1, pp:67-82 [Journal]
  37. William G. Macready, David Wolpert
    Bandit problems and the exploration/exploitation tradeoff. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1998, v:2, n:1, pp:2-22 [Journal]
  38. Mario Köppen, David Wolpert, William G. Macready
    Remarks on a recent paper on the "no free lunch" theorems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2001, v:5, n:3, pp:295-296 [Journal]
  39. David Wolpert, Paul Ampadu
    Temperature-Robust Performance Yield through Supply Voltage Selection. [Citation Graph (0, 0)][DBLP]
    ISCAS, 2007, pp:2279-2282 [Conf]

  40. A Low-Power Safety Mode for Variation Tolerant Systems-on-Chip. [Citation Graph (, )][DBLP]


  41. A Sensor to Detect Normal or Reverse Temperature Dependence in Nanoscale CMOS Circuits. [Citation Graph (, )][DBLP]


  42. Temperature-Aware Delay Borrowing for Energy-Efficient Low-Voltage Link Design. [Citation Graph (, )][DBLP]


  43. Lookahead-based adaptive voltage scheme for energy-efficient on-chip interconnect links. [Citation Graph (, )][DBLP]


  44. Normal and Reverse Temperature Dependence in Variation-Tolerant Nanoscale Systems with High-k Dielectrics and Metal Gates. [Citation Graph (, )][DBLP]


  45. Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method [Citation Graph (, )][DBLP]


  46. Distributed Constrained Optimization with Semicoordinate Transformations [Citation Graph (, )][DBLP]


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