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PAC-Bayes bounds for stable algorithms with instance-dependent priors
Omar Rivasplata, Csaba Szepesvari, John S. Shawe-Taylor, Emilio Parrado-Hernandez, Shiliang Sun
Neural Information Processing Systems http://nips.cc/
Coordinate Descent with Bandit Sampling
Farnood Salehi, Patrick Thiran, Elisa Celis
Thus, ineffect, oftheoptimizethecostfunction (see Figure 1).
Efficiently escaping saddle points on manifolds
Christopher Criscitiello, Nicolas Boumal
Ifthext, krf(xt)k , perturbxt by , with sampled zero.
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Minjia Zhang, Wenhan Wang, Xiaodong Liu, Jianfeng Gao, Yuxiong He
First, we construct asmall world graphrepresentation [31, 32] of a vocabulary. The nodes inthegraph arewords, each being represented using acontinuous vector transformed from its word embedding vector in the NLM.
