Optimization

Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach ICLR 2019 Radial Distortion Triangulation CVPR 2019 Random Feature Maps for the Itemset Kernel AAAI 2019 Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning IJCAI 2019 Randomized Iterative Algorithms for Fisher Discriminant Analysis UAI 2019 Randomized Strategies for Robust Combinatorial Optimization AAAI 2019 Random Search and Reproducibility for Neural Architecture Search UAI 2019 Ranking Passages for Argument Convincingness ACL 2019 Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking AAAI 2019 ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs AAAI 2019 Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps RSS 2019 Recommending Links to Maximize the Influence in Social Networks IJCAI 2019 Recovery Guarantees For Quadratic Tensors With Sparse Observations AISTATS 2019 RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019 Recurrent models and lower bounds for projective syntactic decoding NAACL 2019 Reducing Noise in GAN Training with Variance Reduced Extragradient NeurIPS 2019 Reducing the variance in online optimization by transporting past gradients NeurIPS 2019 Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019 Reflective and Fluorescent Separation Under Narrow-Band Illumination CVPR 2019 Region Proposal by Guided Anchoring CVPR 2019 Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NeurIPS 2019 Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives NeurIPS 2019 Regularization via Mass Transportation JMLR 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Regularized Evolution for Image Classifier Architecture Search AAAI 2019