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Optimization

14,983 papers

Papers per year

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Papers

Joint Optimization for Cooperative Image Captioning ICCV 2019
Geometry Normalization Networks for Accurate Scene Text Detection ICCV 2019
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost ICCV 2019
New Convex Relaxations for MRF Inference With Unknown Graphs ICCV 2019
End-to-End Learning for Graph Decomposition ICCV 2019
Deep Tensor ADMM-Net for Snapshot Compressive Imaging ICCV 2019
Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision ICCV 2019
Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation ICCV 2019
K-Best Transformation Synchronization ICCV 2019
Parametric Majorization for Data-Driven Energy Minimization Methods ICCV 2019
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching ICCV 2019
Distributed Learning with Sublinear Communication ICML 2019
Efficient Full-Matrix Adaptive Regularization ICML 2019
Understanding the Impact of Entropy on Policy Optimization ICML 2019
Projections for Approximate Policy Iteration Algorithms ICML 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019
Bayesian Optimization of Composite Functions ICML 2019
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data ICML 2019
Provable Guarantees for Gradient-Based Meta-Learning ICML 2019
Learning to Route in Similarity Graphs ICML 2019
Efficient optimization of loops and limits with randomized telescoping sums ICML 2019
Greedy Layerwise Learning Can Scale To ImageNet ICML 2019
A Kernel Perspective for Regularizing Deep Neural Networks ICML 2019
Online Variance Reduction with Mixtures ICML 2019
Deep Counterfactual Regret Minimization ICML 2019