Optimization

Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs ICML 2018 Distilled Wasserstein Learning for Word Embedding and Topic Modeling NeurIPS 2018 Distributable Consistent Multi-Object Matching CVPR 2018 Distributed Primal-Dual Optimization for Non-uniformly Distributed Data IJCAI 2018 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018 Distributed Stochastic Optimization via Adaptive SGD NeurIPS 2018 Distributing Frank-Wolfe via Map-Reduce IJCAI 2018 Divide-and-Conquer for Debiased l_1-norm Support Vector Machine in Ultra-high Dimensions JMLR 2018 Divide and Conquer Networks ICLR 2018 Do Less, Get More: Streaming Submodular Maximization with Subsampling NeurIPS 2018 Don't Decay the Learning Rate, Increase the Batch Size ICLR 2018 DRACO: Byzantine-resilient Distributed Training via Redundant Gradients ICML 2018 Dropout as a Low-Rank Regularizer for Matrix Factorization AISTATS 2018 Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms NeurIPS 2018 Dyadic collaborative Manipulation through Hybrid Trajectory Optimization CoRL 2018 Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding IJCAI 2018 Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing EMNLP 2018 Dynamic Regret of Strongly Adaptive Methods ICML 2018 Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks CVPR 2018 Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation ACL 2018 Effect-Abstraction Based Relaxation for Linear Numeric Planning IJCAI 2018 Effective Attention Modeling for Aspect-Level Sentiment Classification COLING 2018 Effectiveness of Dynamic Features in INCA and Temporal Context-INCA Interspeech 2018 Efficient Adaptive Online Learning via Frequent Directions IJCAI 2018 Efficient Algorithms for Outlier-Robust Regression COLT 2018