Scalable global alignment graph kernel using random features: From node embedding to graph embedding
- Lingfei Wu
- Ian En Hsu Yen
- et al.
- 2019
- KDD 2019
Conference paper
Publications
8 results for Ian En Hsu Yen
Efficient global string kernel with random features: Beyond counting substructures
- Lingfei Wu
- Liang Zhao
- et al.
- 2019
- KDD 2019
Conference paperWord mover's embedding: From word2vec to document embedding
- Lingfei Wu
- Ian En Hsu Yen
- et al.
- 2018
- EMNLP 2018
Conference paperScalable spectral clustering using random binning features
- Lingfei Wu
- Fangli Xu
- et al.
- 2018
- KDD 2018
Conference paperRandom warping series: A random features method for time-series embedding
- Lingfei Wu
- Ian En Hsu Yen
- et al.
- 2018
- AISTATS 2018
Conference paperRevisiting random binning features: Fast convergence and strong parallelizability
- Lingfei Wu
- Ian En Hsu Yen
- et al.
- 2016
- KDD 2016
Conference paperLarge-scale submodular greedy exemplar selection with structured similarity matrices
- Dmitry Malioutov
- Abhishek Kumar
- et al.
- 2016
- UAI 2016
Conference paperScalable exemplar clustering and facility location via augmented block coordinate descent with column generation
- Ian En Hsu Yen
- Dmitry Malioutov
- et al.
- 2016
- AISTATS 2016
Conference paper