Search Machine Learning Repository:
All publications by Philip M. Long
authors venues years



Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate
Philip M. Long and Rocco Servedio
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering
Nader H. Bshouty and Philip M. Long
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Halfspaces with Malicious Noise
Adam R. Klivans, Philip M. Long and Rocco A. Servedio
Journal of Machine Learning Research, 2009


Random classification noise defeats all convex potential boosters
Philip M. Long and Rocco Servedio
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Online Learning of Multiple Tasks with a Shared Loss
Ofer Dekel, Philip M. Long and Yoram Singer
Journal of Machine Learning Research, 2007


Learnability and the doubling dimension
Yi Li and Philip M. Long
Advances in Neural Information Processing Systems 19, 2006


Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions
Philip M. Long and Rocco Servedio
Advances in Neural Information Processing Systems 19, 2006


Unsupervised evidence integration
Philip M. Long, Vinay Varadan, Sarah Gilman, Mark Treshock and Rocco A. Servedio
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Mistake Bounds for Maximum Entropy Discrimination
Philip M. Long and Xinyu Wu
Advances in Neural Information Processing Systems 17, 2004