Optimization

Reinforcement Learning Algorithm Selection ICLR 2018 Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 Relating Articulatory Motions in Different Speaking Rates Interspeech 2018 Representations of Bayesian networks by low-rank models PGM 2018 Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes NeurIPS 2018 Revisiting Decomposable Submodular Function Minimization with Incidence Relations NeurIPS 2018 Reviving and Improving Recurrent Back-Propagation ICML 2018 Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis AISTATS 2018 Robust Feature Selection on Incomplete Data IJCAI 2018 Robust Learning of Fixed-Structure Bayesian Networks NeurIPS 2018 Robust Maximization of Non-Submodular Objectives AISTATS 2018 Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018 Robust Obstacle Avoidance using Tube NMPC RSS 2018 Robust Subspace Approximation in a Stream NeurIPS 2018 RSG: Beating Subgradient Method without Smoothness and Strong Convexity JMLR 2018 R-SVM+: Robust Learning with Privileged Information IJCAI 2018 SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018 Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display CVPR 2018 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NeurIPS 2018 SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018 SBNet: Sparse Blocks Network for Fast Inference CVPR 2018 Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018 Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation NeurIPS 2018 Scalable Laplacian K-modes NeurIPS 2018