Optimization

Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017 Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems NeurIPS 2017 Robust Optimization for Non-Convex Objectives NeurIPS 2017 Robust Quadratic Programming for Price Optimization IJCAI 2017 Robust Regression via Heuristic Hard Thresholding IJCAI 2017 Robust Validation of Network Designs under Uncertain Demands and Failures NSDI 2017 ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery IJCAI 2017 Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement ICML 2017 Safe Adaptive Importance Sampling NeurIPS 2017 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Sampling-Based Speech Parameter Generation Using Moment-Matching Networks Interspeech 2017 Sampling for Approximate Maximum Search in Factorized Tensor IJCAI 2017 SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient ICML 2017 Scalable Constraint-based Virtual Data Center Allocation IJCAI 2017 Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks JMLR 2017 Scalable Learning of Non-Decomposable Objectives AISTATS 2017 Scalable Log Determinants for Gaussian Process Kernel Learning NeurIPS 2017 Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NeurIPS 2017 Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NeurIPS 2017 Second-Order Kernel Online Convex Optimization with Adaptive Sketching ICML 2017 Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017 Semi-Calibrated Near Field Photometric Stereo CVPR 2017 Sequence to Better Sequence: Continuous Revision of Combinatorial Structures ICML 2017 Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017 SGM-Nets: Semi-Global Matching With Neural Networks CVPR 2017