Optimization
Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu, Alexander T. Ihler
Neural Information Processing Systems http://nips.cc/
Accelerated Mirror Descent in Continuous and Discrete Time
Walid Krichene, Alexandre Bayen, Peter L. Bartlett
Neural Information Processing Systems http://nips.cc/
A Generic Acceleration Framework for Stochastic Composite Optimization
Specifically, we extend the Catalyst approach originally designed for deterministic objectives to the stochastic setting.
Learning Robust Options by Conditional Value at Risk Optimization
Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka
Neural Information Processing Systems http://nips.cc/
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems
Neural Information Processing Systems http://nips.cc/
Model Inversion Networks for Model-Based Optimization
MINs can scale to high-dimensional input spaces and leverage offline logged data for both contextual and non-contextual optimization problems.