Optimization

On Matching Pursuit and Coordinate Descent ICML 2018 On Misinformation Containment in Online Social Networks NeurIPS 2018 On Q-learning Convergence for Non-Markov Decision Processes IJCAI 2018 On the Convergence and Robustness of Training GANs with Regularized Optimal Transport NeurIPS 2018 On the Convergence of Adam and Beyond ICLR 2018 On the Convergence of PatchMatch and Its Variants CVPR 2018 On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018 On the insufficiency of existing momentum schemes for Stochastic Optimization ICLR 2018 On the Local Hessian in Back-propagation NeurIPS 2018 On the Local Minima of the Empirical Risk NeurIPS 2018 On the Power of Over-parametrization in Neural Networks with Quadratic Activation ICML 2018 On the regularization of Wasserstein GANs ICLR 2018 On the State of the Art of Evaluation in Neural Language Models ICLR 2018 On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018 Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization NeurIPS 2018 Optimal approximation of continuous functions by very deep ReLU networks COLT 2018 Optimality of Approximate Inference Algorithms on Stable Instances AISTATS 2018 Optimal Multi-Attribute Decision Making in Social Choice Problems IJCAI 2018 Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces ICML 2018 Optimal Submodular Extensions for Marginal Estimation AISTATS 2018 Optimization Algorithm Inspired Deep Neural Network Structure Design ACML 2018 Optimization based Layer-wise Magnitude-based Pruning for DNN Compression IJCAI 2018 Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018 Optimization for Approximate Submodularity NeurIPS 2018 Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates NeurIPS 2018