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Optimization

1,664 papers

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Papers

Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019
Nonconvex Matrix Factorization from Rank-One Measurements 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
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function AISTATS 2019
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019
On the Dynamics of Gradient Descent for Autoencoders AISTATS 2019
A Fast Sampling Algorithm for Maximum Inner Product Search AISTATS 2019
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction CVPR 2019
Reflection Removal Using a Dual-Pixel Sensor CVPR 2019
DeepView: View Synthesis With Learned Gradient Descent CVPR 2019
Snapshot Distillation: Teacher-Student Optimization in One Generation CVPR 2019
Deep Rigid Instance Scene Flow CVPR 2019
Robust Video Stabilization by Optimization in CNN Weight Space CVPR 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019
A General and Adaptive Robust Loss Function CVPR 2019
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss CVPR 2019
Parallel Optimal Transport GAN CVPR 2019
Taking a Deeper Look at the Inverse Compositional Algorithm CVPR 2019
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior CVPR 2019
HAQ: Hardware-Aware Automated Quantization With Mixed Precision CVPR 2019
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth CVPR 2019
Robustness via Curvature Regularization, and Vice Versa CVPR 2019