Paul Rivera

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Rivera trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Shahar Mendelson (in Artificial Intelligence)
  2. Vladimir Koltchinskii (in Artificial Intelligence)
  3. Peter L. Bartlett (in Artificial Intelligence)
  4. D. Panchenko (in Artificial Intelligence)

Papers from Paul Rivera's perspective

Ordered by how strongly the researchers Paul Rivera trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Normalized cuts and image segmentation
  2. Probability in Banach spaces
  3. Empirical margin distributions and bounding the generalization error of combined classifiers
  4. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
  5. Unifying Divergence Minimization and Statistical Inference Via Convex Duality
  6. Probabilistic methods for algorithmic discrete mathematics
  7. Estimating labels from label proportions
  8. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
  9. On the optimality of conditional expectation as a Bregman predictor (IEEE Transactions on Information Theory)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers