Travelled to:1 × Germany
2 × China
2 × USA
Collaborated with:M.Torkamani A.Rooshenas P.M.Domingos C.Meek
Talks about:adversari (2) learn (2) structur (1) interact (1) indirect (1) variabl (1) support (1) regular (1) product (1) probabl (1)
Person: Daniel Lowd
DBLP: Lowd:Daniel
Contributed to:
2014201420132005
2005Wrote 5 papers:
- ICML-c1-2014-RooshenasL #interactive #learning #network
- Learning Sum-Product Networks with Direct and Indirect Variable Interactions (AR, DL), pp. 710–718.
- ICML-c2-2014-TorkamaniL #on the #robust
- On Robustness and Regularization of Structural Support Vector Machines (MT, DL), pp. 577–585.
- ICML-c1-2013-TorkamaniL #classification
- Convex Adversarial Collective Classification (MT, DL), pp. 642–650.
- ICML-2005-LowdD #estimation #modelling #naive bayes #probability
- Naive Bayes models for probability estimation (DL, PMD), pp. 529–536.
- KDD-2005-LowdM #learning
- Adversarial learning (DL, CM), pp. 641–647.