optimization landscape

A Closer Look at the Optimization Landscapes of Generative Adversarial Networks ICLR 2020 Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry NeurIPS 2020 How many samples is a good initial point worth in Low-rank Matrix Recovery? NeurIPS 2020 Learning to Forget for Meta-Learning CVPR 2020 Optimization Theory for ReLU Neural Networks Trained with Normalization Layers ICML 2020 Short and Sparse Deconvolution --- A Geometric Approach ICLR 2020 What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective CVPR 2020 Are deep ResNets provably better than linear predictors? NeurIPS 2019 Complexity of Linear Regions in Deep Networks ICML 2019 Global Guarantees for Blind Demodulation with Generative Priors NeurIPS 2019 Semi-flat minima and saddle points by embedding neural networks to overparameterization NeurIPS 2019 Understanding Geometry of Encoder-Decoder CNNs ICML 2019 Understanding the Impact of Entropy on Policy Optimization ICML 2019 Are ResNets Provably Better than Linear Predictors? NeurIPS 2018 How Does Batch Normalization Help Optimization? NeurIPS 2018 Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues NeurIPS 2018 On the Implicit Bias of Dropout ICML 2018 Optimization Landscape and Expressivity of Deep CNNs ICML 2018 Porcupine Neural Networks: Approximating Neural Network Landscapes NeurIPS 2018 Why is unsupervised alignment of English embeddings from different algorithms so hard? EMNLP 2018 No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis ICML 2017 On the Optimization Landscape of Tensor Decompositions NeurIPS 2017 An analysis on negative curvature induced by singularity in multi-layer neural-network learning NeurIPS 2010