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Jonathan Baxter: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jonathan Baxter
    Learning Internal Representations. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:311-320 [Conf]
  2. Jonathan Baxter
    A Bayesian/Information Theoretic Model of Bias Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:77-88 [Conf]
  3. Peter L. Bartlett, Jonathan Baxter
    Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:133-141 [Conf]
  4. Jonathan Baxter, John Shawe-Taylor
    Learning to Compress Ergodic Sources. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1996, pp:423- [Conf]
  5. Jonathan Baxter, Peter L. Bartlett
    A Result Relating Convex n-Widths to Covering Numbers with some Applications to Neural Networks. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1997, pp:251-259 [Conf]
  6. Douglas Aberdeen, Jonathan Baxter
    General Matrix-Matrix Multiplication Using SIMD Features of the PIII (Research Note). [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2000, pp:980-983 [Conf]
  7. Jonathan Baxter
    The Canonical Distortion Measure for Vector Quantization and Function Approximation. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:39-47 [Conf]
  8. Jonathan Baxter, Peter L. Bartlett
    Reinforcement Learning in POMDP's via Direct Gradient Ascent. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:41-48 [Conf]
  9. Douglas Aberdeen, Jonathan Baxter
    Scalable Internal-State Policy-Gradient Methods for POMDPs. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:3-10 [Conf]
  10. Jonathan Baxter, Andrew Tridgell, Lex Weaver
    KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:28-36 [Conf]
  11. Nigel Tao, Jonathan Baxter, Lex Weaver
    A Multi-Agent Policy-Gradient Approach to Network Routing. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:553-560 [Conf]
  12. Jonathan Baxter
    Learning Model Bias. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:169-175 [Conf]
  13. Jonathan Baxter, Peter L. Bartlett
    The Canonical Distortion Measure in Feature Space and 1-NN Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  14. Evan Greensmith, Peter L. Bartlett, Jonathan Baxter
    Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1507-1514 [Conf]
  15. Llew Mason, Peter L. Bartlett, Jonathan Baxter
    Direct Optimization of Margins Improves Generalization in Combined Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:288-294 [Conf]
  16. Llew Mason, Jonathan Baxter, Peter L. Bartlett, Marcus R. Frean
    Boosting Algorithms as Gradient Descent. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:512-518 [Conf]
  17. Douglas Aberdeen, Jonathan Baxter, Robert Edwards
    98¢/Mflops/s, Ultra-Large-Scale Neural-Network Training on a PIII Cluster. [Citation Graph (0, 0)][DBLP]
    SC, 2000, pp:- [Conf]
  18. Douglas Aberdeen, Jonathan Baxter
    Emmerald: a fast matrix-matrix multiply using Intel's SSE instructions. [Citation Graph (0, 0)][DBLP]
    Concurrency and Computation: Practice and Experience, 2001, v:13, n:2, pp:103-119 [Journal]
  19. Jonathan Baxter, Andrew Tridgell, Lex Weaver
    TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  20. Jonathan Baxter, Andrew Tridgell, Lex Weaver
    KnightCap: A chess program that learns by combining TD(lambda) with game-tree search [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  21. Jonathan Baxter
    A Model of Inductive Bias Learning. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2000, v:12, n:, pp:149-198 [Journal]
  22. Jonathan Baxter, Peter L. Bartlett
    Infinite-Horizon Policy-Gradient Estimation. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2001, v:15, n:, pp:319-350 [Journal]
  23. Jonathan Baxter, Peter L. Bartlett, Lex Weaver
    Experiments with Infinite-Horizon, Policy-Gradient Estimation. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2001, v:15, n:, pp:351-381 [Journal]
  24. Peter L. Bartlett, Jonathan Baxter
    Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2002, v:64, n:1, pp:133-150 [Journal]
  25. Evan Greensmith, Peter L. Bartlett, Jonathan Baxter
    Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:1471-1530 [Journal]
  26. Jonathan Baxter
    A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:28, n:1, pp:7-39 [Journal]
  27. Jonathan Baxter, Nicolò Cesa-Bianchi
    Guest Editors' Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:37, n:3, pp:239-240 [Journal]
  28. Jonathan Baxter, Andrew Tridgell, Lex Weaver
    Learning to Play Chess Using Temporal Differences. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:40, n:3, pp:243-263 [Journal]
  29. Llew Mason, Peter L. Bartlett, Jonathan Baxter
    Improved Generalization Through Explicit Optimization of Margins. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:38, n:3, pp:243-255 [Journal]

  30. Using technologies to support reminiscence. [Citation Graph (, )][DBLP]


  31. ArtLinks: fostering social awareness and reflection in museums. [Citation Graph (, )][DBLP]


  32. A tag in the hand: supporting semantic, social, and spatial navigation in museums. [Citation Graph (, )][DBLP]


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