Optimization
Teaching Multiple Concepts to a Forgetful Learner
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
Neural Information Processing Systems http://nips.cc/
Escaping from saddle points on Riemannian manifolds
Yue Sun, Nicolas Flammarion, Maryam Fazel
Neural Information Processing Systems http://nips.cc/
A Latent Variational Framework for Stochastic Optimization
Neural Information Processing Systems http://nips.cc/
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
Wenqing Hu, Chris Junchi Li, Xiangru Lian, Ji Liu, Huizhuo Yuan
The objective function is the composition of two expectations of stochastic functions, and ismore challenging tooptimize than vanilla stochastic optimization problems.
