Optimization

Efficient and Consistent Adversarial Bipartite Matching ICML 2018 Efficient First-Order Algorithms for Adaptive Signal Denoising ICML 2018 Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses NeurIPS 2018 Efficient Gradient-Free Variational Inference using Policy Search ICML 2018 Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features NeurIPS 2018 Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity JMLR 2018 Efficient Neural Architecture Search via Parameters Sharing ICML 2018 Efficient online algorithms for fast-rate regret bounds under sparsity NeurIPS 2018 Efficient Online Scalar Annotation with Bounded Support ACL 2018 Efficient Optimization for Rank-Based Loss Functions CVPR 2018 Efficient Projection onto the Perfect Phylogeny Model NeurIPS 2018 Efficient Stochastic Gradient Hard Thresholding NeurIPS 2018 Efficient Subpixel Refinement With Symbolic Linear Predictors CVPR 2018 Efficient Symbolic Integration for Probabilistic Inference IJCAI 2018 Efficient Weight Learning in High-Dimensional Untied MLNs AISTATS 2018 ELFI: Engine for Likelihood-Free Inference JMLR 2018 Embedded High Precision Control and Corn Stand Counting Algorithms for an Ultra-Compact 3D Printed Field Robot RSS 2018 Embedding Text in Hyperbolic Spaces NAACL 2018 Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NeurIPS 2018 End-to-End Differentiable Physics for Learning and Control NeurIPS 2018 Energy-efficient Amortized Inference with Cascaded Deep Classifiers IJCAI 2018 Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines CVPR 2018 Escaping Saddle Points in Constrained Optimization NeurIPS 2018 Escaping Saddles with Stochastic Gradients ICML 2018 Essentially No Barriers in Neural Network Energy Landscape ICML 2018