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Optimization

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Papers

The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019 The Landscape of Non-convex Empirical Risk with Degenerate Population Risk NeurIPS 2019 The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information ICCV 2019 The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks NeurIPS 2019 Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019 Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning NeurIPS 2019 The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control IJCAI 2019 The Price of Local Fairness in Multistage Selection IJCAI 2019 The Role of Memory in Stochastic Optimization UAI 2019 The Singular Values of Convolutional Layers ICLR 2019 The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic NeurIPS 2019 The Unusual Effectiveness of Averaging in GAN Training ICLR 2019 The Variational Predictive Natural Gradient ICML 2019 Thompson Sampling and Approximate Inference NeurIPS 2019 Tight analyses for non-smooth stochastic gradient descent COLT 2019 Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD NeurIPS 2019 TIGS: An Inference Algorithm for Text Infilling with Gradient Search ACL 2019 T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor CVPR 2019 Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective IJCAI 2019 TossingBot: Learning to Throw Arbitrary Objects with Residual Physics RSS 2019 Towards a Better Understanding and Regularization of GAN Training Dynamics UAI 2019 Towards a Fault-Tolerant Speaker Verification System: A Regularization Approach to Reduce the Condition Number Interspeech 2019 Towards Automated Semi-Supervised Learning AAAI 2019 Towards Better Accuracy and Robustness with Localized Adversarial Training AAAI 2019 Towards closing the gap between the theory and practice of SVRG NeurIPS 2019