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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Optimization
1203 directly classified papers
Papers per year
2001: 1
2005: 1
2006: 8
2007: 5
2008: 3
2009: 6
2010: 5
2011: 17
2012: 24
2013: 52
2014: 41
2015: 36
2016: 36
2017: 47
2018: 72
2019: 76
2020: 106
2021: 120
2022: 126
2023: 128
2024: 203
2025: 88
2026: 2
Papers
Bilinear Parameterization for Non-Separable Singular Value Penalties
CVPR 2021
Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance
CVPR 2021
Rotation-Only Bundle Adjustment
CVPR 2021
On ADMM in Deep Learning: Convergence and Saturation-Avoidance
JMLR 2021
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
ICML 2021
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
ICML 2021
GIBBON: General-purpose Information-Based Bayesian Optimisation
JMLR 2021
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
ICML 2021
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
ICML 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms
ICML 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
ICML 2021
High Dimensional Level Set Estimation with Bayesian Neural Network
AAAI 2021
Convex Regularization in Monte-Carlo Tree Search
ICML 2021
Newton Method over Networks is Fast up to the Statistical Precision
ICML 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
ICML 2021
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
ICML 2021
DTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion
ICCV 2021
Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence
L4DC 2020
Approximating shapes in images with low-complexity polygons
CVPR 2020
Averaging Essential and Fundamental Matrices in Collinear Camera Settings
CVPR 2020
Cogradient Descent for Bilinear Optimization
CVPR 2020
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors
CVPR 2020
Robust Density Estimation under Besov IPM Losses
NIPS 2020
QR-code Reconstruction from Event Data via Optimization in Code Subspace
WACV 2020
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models
ICML 2020
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