Country
On the Local Minima of the Empirical Risk
Chi Jin, Lydia T. Liu, Rong Ge, Michael I. Jordan
Neural Information Processing Systems http://nips.cc/
Efficient Deep Approximation of GMMs
Shirin Jalali, Carl Nuzman, Iraj Saniee
There is no theory yet as to whydeep neural networks (DNNs from here on) are as effectiveand efficient in practice as they evidently are.
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li
Because of the ubiquitous applications of NMF, many efficient algorithms have been proposedforsolving(1).
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices
Don Dennis, Chirag Pabbaraju, Harsha Vardhan Simhadri, Prateek Jain
Neural Information Processing Systems http://nips.cc/
Constraint-based Causal Structure Learning with Consistent Separating Sets
This paper concerns, more specifically, the inconsistency of separating sets used to remove dispensable edges, iteratively, based on conditional independence tests.
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds Roi Livni Department Electrical Engineering Tel Aviv University rlivni@tauex.tau.ac.il
But nonetheless, they tend to perform well on unseen test data.