Estimating labels from label proportions

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 776-783

  Quadrianto, Novi ^a   Smola, Alex J ^a   Caetano, Tiberio S ^a   Le, Quoc V ^b  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b Stanford University

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; ELECTRONIC COMMERCE; ROBOT LEARNING;

CONSISTENT ESTIMATORS; CONTENT DETECTION; FOLLOWING PROBLEM; HIGH PROBABILITY; SPAM FILTERING; UNIFORM CONVERGENCE; CONTENT DETECTIONS; E COMMERCES; FOLLOWING PROBLEMS; HIGH PROBABILITIES; UNIFORM CONVERGENCES;

MACHINE LEARNING; LABELS;

EID: 56549100468     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390254     Document Type: Conference Paper

References (11)

1. Altun, Y., & Smola, A. (2006). Unifying divergence minimization and statistical inference via convex duality. COLT'06, LNCS, 139-153. Springer.
2. Bartlett, P. L., & Mendelson, S. (2002). Rademacher and Gaussian complexities: Risk bounds and structural results. JMLR, 3.
3. Chen, B., Chen, L., Rarnakrishnan, R., & Musicant, D. (2006). Learning from aggregate views. ICDE'06, 3-12.
4. Dudik, M., & Schapire, R. E. (2006). Maximum entropy distribution estimation with generalized regularization. COLT'06, Springer.
5. Gartner, T., Le, Q., Burton, S., Smola, A., & Vishwanathan, S. (2006). Large-scale multiclass transduction. NIPS'06
6. Kuck, H., & de Freitas, N. (2005). Learning about individuals from group statistics. In UAI'05, 332-339.
7. Mann, G., & McCallum, A. (2007). Simple, robust, scalable semi-supervised learning via expectation regularization. In ICML'07.
8. Musicant, D., Christensen, J., & Olson, J. (2007). Supervised learning by training on aggregate outputs. In IEEE ICDM.
9. Schölkopf, B. (1997). Support Vector Learning. Oldenbourg Verlag.
10. Smola, A., Vishwanathan, S. V. N., & Le, Q. (2007). Bundle methods for machine learning. In NIPS'07.
11. Teo, C.H., Le, Q.V., Smola, A.J., & Vishwanathan, S.V.N. (2007). A Scalable Modular Convex Solver for Regularized Risk Minimization. In KDD'07.