Christoph Sawade
Artificial Intelligence · 2008–2013
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom Christoph Sawade trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Christoph Sawade overall
Papers from Christoph Sawade's perspective
Ordered by how strongly the researchers Christoph Sawade trusts endorse each paper. Same corpus, a different order for every researcher.
- Regularized multi--task learning
- Nightmare at test time: robust learning by feature deletion
- Discriminative learning for differing training and test distributions
- Multi-Task Learning for Classification with Dirichlet Process Priors
- Trust region Newton methods for large-scale logistic regression (International Conference on Machine Learning)
- Multi-task learning for HIV therapy screening
- Convex Learning with Invariances
- Correcting Sample Selection Bias by Unlabeled Data
- Game theory, on-line prediction and boosting
- A Robust Minimax Approach to Classification
Their papers
- Bayesian Games for Adversarial Regression Problems (2013) — 56 citations
- Transfer Learning by Distribution Matching for Targeted Advertising (2008) — 39 citations