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Publications of Author

1. Manfred Opper, Ole Winther
   Approximate Inference in Probabilistic Models. [Citation Graph (0, 0)][DBLP]
   ALT, 2004, pp:494-504 [Conf]
   
2. David Haussler, Manfred Opper
   Metric Entropy and Minimax Risk in Classification. [Citation Graph (0, 0)][DBLP]
   Structures in Logic and Computer Science, 1997, pp:212-235 [Conf]
   
3. Yoav Freund, Manfred Opper
   Continuous Drifting Games. [Citation Graph (0, 0)][DBLP]
   COLT, 2000, pp:126-132 [Conf]
   
4. David Haussler, Manfred Opper
   General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations. [Citation Graph (0, 0)][DBLP]
   COLT, 1995, pp:402-411 [Conf]
   
5. Manfred Opper, David Haussler
   Calculation of the Learning Curve of Bayes Optimal Classification Algorithm for Learning a Perceptron With Noise. [Citation Graph (0, 0)][DBLP]
   COLT, 1991, pp:75-87 [Conf]
   
6. H. Sebastian Seung, Manfred Opper, Haim Sompolinsky
   Query by Committee. [Citation Graph (0, 0)][DBLP]
   COLT, 1992, pp:287-294 [Conf]
   
7. Lehel Csató, Dan Cornford, Manfred Opper
   Online Approximations for Wind-Field Models. [Citation Graph (0, 0)][DBLP]
   ICANN, 2001, pp:300-307 [Conf]
   
8. Dörthe Malzahn, Manfred Opper
   Learning Curves for Gaussian Processes Models: Fluctuations and Universality. [Citation Graph (0, 0)][DBLP]
   ICANN, 2001, pp:271-276 [Conf]
   
9. Siegfried Bös, Manfred Opper
   Dynamics of Training. [Citation Graph (0, 0)][DBLP]
   NIPS, 1996, pp:141-147 [Conf]
   
10. Lehel Csató, Ernest Fokoué, Manfred Opper, Bernhard Schottky, Ole Winther
    Efficient Approaches to Gaussian Process Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:251-257 [Conf]
    
11. Lehel Csató, Manfred Opper
    Sparse Representation for Gaussian Process Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:444-450 [Conf]
    
12. Lehel Csató, Manfred Opper, Ole Winther
    TAP Gibbs Free Energy, Belief Propagation and Sparsity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:657-663 [Conf]
    
13. Giancarlo Ferrari-Trecate, Christopher K. I. Williams, Manfred Opper
    Finite-Dimensional Approximation of Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:218-224 [Conf]
    
14. David Haussler, Michael J. Kearns, Manfred Opper, Robert E. Schapire
    Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:855-862 [Conf]
    
15. Dörthe Malzahn, Manfred Opper
    A Variational Approach to Learning Curves. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:463-469 [Conf]
    
16. Dörthe Malzahn, Manfred Opper
    Learning Curves for Gaussian Processes Regression: A Framework for Good Approximations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:273-279 [Conf]
    
17. Dörthe Malzahn, Manfred Opper
    A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:327-334 [Conf]
    
18. Dörthe Malzahn, Manfred Opper
    Approximate Analytical Bootstrap Averages for Support Vector Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
    
19. Manfred Opper
    An Approximate Inference Approach for the PCA Reconstruction Error. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
    
20. Manfred Opper, Robert Urbanczik
    Asymptotic Universality for Learning Curves of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:479-486 [Conf]
    
21. Manfred Opper, Francesco Vivarelli
    General Bounds on Bayes Errors for Regression with Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:302-308 [Conf]
    
22. Manfred Opper, Ole Winther
    Variational Linear Response. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
    
23. Manfred Opper, Ole Winther
    Expectation Consistent Free Energies for Approximate Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
    
24. Manfred Opper, Ole Winther
    A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:225-231 [Conf]
    
25. Manfred Opper, Ole Winther
    Mean Field Methods for Classification with Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:309-315 [Conf]
    
26. Yoav Freund, Manfred Opper
    Drifting Games and Brownian Motion. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2002, v:64, n:1, pp:113-132 [Journal]
    
27. Dörthe Malzahn, Manfred Opper
    An Approximate Analytical Approach to Resampling Averages. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1151-1173 [Journal]
    
28. Manfred Opper, Ole Winther
    Expectation Consistent Approximate Inference. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:2177-2204 [Journal]
    
29. Lehel Csató, Manfred Opper
    Sparse On-Line Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:3, pp:641-668 [Journal]
    
30. Manfred Opper, Ole Winther
    Gaussian Processes for Classification: Mean-Field Algorithms. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:11, pp:2655-2684 [Journal]
    
31. 
    Variational inference for Markov jump processes. [Citation Graph (, )][DBLP]
    
    
32. 
    Variational Inference for Diffusion Processes. [Citation Graph (, )][DBLP]
    
    
33. 
    Improving on Expectation Propagation. [Citation Graph (, )][DBLP]
    
    
34. 
    Switching regulatory models of cellular stress response. [Citation Graph (, )][DBLP]
    
    
35. 
    Learning combinatorial transcriptional dynamics from gene expression data. [Citation Graph (, )][DBLP]
    
    
36. 
    Optimal control as a graphical model inference problem [Citation Graph (, )][DBLP]