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Neural Network Optimization

3,649 papers

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Papers

Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation ACL 2019
On the Realization of Compositionality in Neural Networks ACL 2019
Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder ACL 2019
ResNet and Batch-normalization Improve Data Separability ACML 2019
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates ACML 2019
Cell-aware Stacked LSTMs for Modeling Sentences ACML 2019
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019
Local Saddle Point Optimization: A Curvature Exploitation Approach AISTATS 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019
Fisher Information and Natural Gradient Learning in Random Deep Networks AISTATS 2019
Robust descent using smoothed multiplicative noise AISTATS 2019
Nonlinear Acceleration of Primal-Dual Algorithms AISTATS 2019
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes AISTATS 2019
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach AISTATS 2019
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex AISTATS 2019
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization AISTATS 2019
Learning One-hidden-layer ReLU Networks via Gradient Descent AISTATS 2019
Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019
Projection-Free Bandit Convex Optimization AISTATS 2019
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function AISTATS 2019
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization AISTATS 2019
On the Dynamics of Gradient Descent for Autoencoders AISTATS 2019
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate AISTATS 2019
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization AISTATS 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution AISTATS 2019