Optimization

Deep Forest: Towards An Alternative to Deep Neural Networks IJCAI 2017 Deep Kernels for Optimizing Locomotion Controllers CoRL 2017 Deeply Aggregated Alternating Minimization for Image Restoration CVPR 2017 Deep Network Flow for Multi-Object Tracking CVPR 2017 Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups CVPR 2017 Deriving Consensus for Multi-Parallel Corpora: an English Bible Study IJCNLP 2017 Device Placement Optimization with Reinforcement Learning ICML 2017 Differentiable Learning of Submodular Models NeurIPS 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NeurIPS 2017 DIRTREL: Robust Trajectory Optimization with Ellipsoidal Disturbances and LQR Feedback RSS 2017 Discretely Coding Semantic Rank Orders for Supervised Image Hashing CVPR 2017 Discriminative Optimization: Theory and Applications to Point Cloud Registration CVPR 2017 Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017 Distributed Batch Gaussian Process Optimization ICML 2017 Distributionally Robust Groupwise Regularization Estimator ACML 2017 Diving into the shallows: a computational perspective on large-scale shallow learning NeurIPS 2017 Dominance and Optimisation Based on Scale-Invariant Maximum Margin Preference Learning IJCAI 2017 Don’t Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers EACL 2017 Don’t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures ACL 2017 DOPE: Distributed Optimization for Pairwise Energies CVPR 2017 Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition ICML 2017 Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization NeurIPS 2017 Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017 DSAC - Differentiable RANSAC for Camera Localization CVPR 2017 Dual Inference for Machine Learning IJCAI 2017