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Continuous Optimization

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Papers

A scaled Bregman theorem with applications NIPS 2016
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NIPS 2016
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees AISTATS 2016
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization AISTATS 2016
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization AISTATS 2016
A primal-dual method for conic constrained distributed optimization problems NIPS 2016
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums ICML 2016
Low-Rank Regression with Tensor Responses NIPS 2016
On the Reducibility of Submodular Functions AISTATS 2016
Semiparametric Differential Graph Models NIPS 2016
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation NIPS 2016
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization NIPS 2016
Exact Recovery of Hard Thresholding Pursuit NIPS 2016
Faster Projection-free Convex Optimization over the Spectrahedron NIPS 2016
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians NIPS 2016
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes NIPS 2016
Regularized Nonlinear Acceleration NIPS 2016
Normalized Spectral Map Synchronization NIPS 2016
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$ NIPS 2016
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy NIPS 2016
Sparse Support Recovery with Non-smooth Loss Functions NIPS 2016
A Simple Practical Accelerated Method for Finite Sums NIPS 2016
Structure-Blind Signal Recovery NIPS 2016
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM NIPS 2016
Stochastic Optimization for Large-scale Optimal Transport NIPS 2016