John Moeller

According to our database, John Moeller authored at least 9 papers between 2009 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2017

Kernels and Geometry of Machine Learning.

John Moeller

PhD thesis, 2017

2016

A Unified View of Localized Kernel Learning.

John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Continuous Kernel Learning.

John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

Certifying and Removing Disparate Impact.

Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

A Geometric Algorithm for Scalable Multiple Kernel Learning.

John Moeller, Parasaran Raman, Suresh Venkatasubramanian, Avishek Saha

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Approximate Bregman Near Neighbors in Sublinear Time: beyond the Triangle inequality.

Amirali Abdullah, John Moeller, Suresh Venkatasubramanian

Int. J. Comput. Geom. Appl., 2013

2012

Fast Multiple Kernel Learning With Multiplicative Weight Updates

John Moeller, Parasaran Raman, Avishek Saha, Suresh Venkatasubramanian

CoRR, 2012

2011

Horoball Hulls and Extents in Positive Definite Space.

P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian

Proceedings of the Algorithms and Data Structures - 12th International Symposium, 2011

2009

Computing Hulls And Centerpoints In Positive Definite Space

P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian

CoRR, 2009