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Optimization

1,207 papers

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Papers

Inverse Rectification for Efficient Procam Pattern Correspondence WACV 2020
QR-code Reconstruction from Event Data via Optimization in Code Subspace WACV 2020
Learning dynamic polynomial proofs NIPS 2019
Trivializations for Gradient-Based Optimization on Manifolds NIPS 2019
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression NIPS 2019
Fast and Accurate Least-Mean-Squares Solvers NIPS 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NIPS 2019
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration NIPS 2019
Variance Reduction for Matrix Games NIPS 2019
Offline Contextual Bayesian Optimization NIPS 2019
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions NIPS 2019
Efficient Symmetric Norm Regression via Linear Sketching NIPS 2019
GENO -- GENeric Optimization for Classical Machine Learning NIPS 2019
Shadowing Properties of Optimization Algorithms NIPS 2019
Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NIPS 2019
Block Coordinate Regularization by Denoising NIPS 2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm NIPS 2019
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NIPS 2019
Necessary and Sufficient Geometries for Gradient Methods NIPS 2019
An adaptive Mirror-Prox method for variational inequalities with singular operators NIPS 2019
Implicit Regularization of Accelerated Methods in Hilbert Spaces NIPS 2019
Iterative Least Trimmed Squares for Mixed Linear Regression NIPS 2019
On the number of variables to use in principal component regression NIPS 2019
Learning to Optimize in Swarms NIPS 2019
KNG: The K-Norm Gradient Mechanism NIPS 2019