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Optimization

1184 directly classified papers

Papers per year

Papers

Learning Combinatorial Solver for Graph Matching CVPR 2020
Cogradient Descent for Bilinear Optimization CVPR 2020
LSM: Learning Subspace Minimization for Low-Level Vision CVPR 2020
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders ICML 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis ICML 2020
Image denoising via K-SVD with primal-dual active set algorithm WACV 2020
Robust estimation of local affine maps and its applications to image matching WACV 2020
Depth Completion via Deep Basis Fitting WACV 2020
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 2020
Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions JMLR 2020
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers JMLR 2020
A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020
Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data JMLR 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
Learning with Fenchel-Young losses JMLR 2020
On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent ICML 2020
Explicit Gradient Learning for Black-Box Optimization ICML 2020
Incremental Sampling Without Replacement for Sequence Models ICML 2020
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization ICML 2020
Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020
Loss Function Search for Face Recognition ICML 2020
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020
Optimizing Data Usage via Differentiable Rewards ICML 2020
Searching to Exploit Memorization Effect in Learning with Noisy Labels ICML 2020