Publications

Found 5 results
Author Title Type [ Year(Asc)]
Filters: Author is David Gleich  [Clear All Filters]
2016
Gleich, D., & Mahoney M. (2016).  Mining Large graphs. Handbook of Big Data. 191-220.
Fountoulakis, K., Gleich D., & Mahoney M. (2016).  An optimization approach to locally-biased graph algorithms.
Veldt, N., Gleich D., & Mahoney M. (2016).  A Simple and Strongly-Local Flow-Based Method for Cut Improvement. Proceedings of the 33rd ICML Conference.
2015
Gleich, D., & Mahoney M. (2015).  Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms. Proceedings of the 21st Annual SIGKDD.
2014
Gleich, D., & Mahoney M. (2014).  Anti-Differentiating Approximation Algorithms: A Case Study with Min-Cuts, Spectral, and Flow.