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Continuous Optimization

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Papers

A Bridging Framework for Model Optimization and Deep Propagation NIPS 2018
Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces IJCAI 2018
Blind Deconvolutional Phase Retrieval via Convex Programming NIPS 2018
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere NIPS 2018
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport NIPS 2018
Mixture Matrix Completion NIPS 2018
The DFS Fused Lasso: Linear-Time Denoising over General Graphs JMLR 2018
CoCoA: A General Framework for Communication-Efficient Distributed Optimization JMLR 2018
Spectral Algorithms for Computing Fair Support Vector Machines AISTATS 2018
Online Continuous Submodular Maximization AISTATS 2018
Solving lp-norm regularization with tensor kernels AISTATS 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018
Safe Element Screening for Submodular Function Minimization ICML 2018
Convolutional Imputation of Matrix Networks ICML 2018
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method AISTATS 2018
Dual Principal Component Pursuit JMLR 2018
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms JMLR 2018
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations IJCAI 2018
Nearly Optimal Robust Subspace Tracking ICML 2018
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements IJCAI 2018
Robust Vertex Enumeration for Convex Hulls in High Dimensions AISTATS 2018
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation AISTATS 2018
Stochastic Zeroth-order Optimization in High Dimensions AISTATS 2018
Batch-Expansion Training: An Efficient Optimization Framework AISTATS 2018
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation NIPS 2018