Statistical Learning
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging
Pooria Joulani, Andrรกs Gyรถrgy, Csaba Szepesvari
Neural Information Processing Systems http://nips.cc/
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
Viet Anh Nguyen, Soroosh Shafieezadeh Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Neural Information Processing Systems http://nips.cc/
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
Neural Information Processing Systems http://nips.cc/
Exact Gaussian Processes on a Million Data Points
Ke Wang, Geoff Pleiss, Jacob Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson
Neural Information Processing Systems http://nips.cc/
Order Optimal One-Shot Distributed Learning
Arsalan Sharifnassab, Saber Salehkaleybar, S. Jamaloddin Golestani
Neural Information Processing Systems http://nips.cc/
Cross Attention Network for Few-shot Classification
Ruibing Hou, Hong Chang, Bingpeng MA, Shiguang Shan, Xilin Chen
Few-shot classification aims to recognize unlabeled samples from unseen classes given only few labeled samples.
