Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization
Mathematics & Optimization
›
Optimization
›
Continuous Optimization
3907 directly classified papers
Papers per year
2001: 1
2002: 2
2004: 2
2005: 6
2006: 16
2007: 22
2008: 29
2009: 27
2010: 38
2011: 44
2012: 78
2013: 146
2014: 172
2015: 155
2016: 188
2017: 223
2018: 260
2019: 393
2020: 367
2021: 395
2022: 418
2023: 423
2024: 320
2025: 154
2026: 28
Papers
Designing Illuminant Spectral Power Distributions for Surface Classification
CVPR 2017
On Compressing Deep Models by Low Rank and Sparse Decomposition
CVPR 2017
Convex Phase Retrieval without Lifting via PhaseMax
ICML 2017
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation
AISTATS 2017
Soft Margin Support Vector Classification as Buffered Probability Minimization
JMLR 2017
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization
NIPS 2017
Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach
CVPR 2016
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification
ICML 2016
Fast Algorithms for Segmented Regression
ICML 2016
Time and Energy Optimal Path Planning in General Flows
RSS 2016
Epigraph projections for fast general convex programming
ICML 2016
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models
AISTATS 2016
Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation
AISTATS 2016
Tensor Decomposition via Joint Matrix Schur Decomposition
ICML 2016
GenSVM: A Generalized Multiclass Support Vector Machine
JMLR 2016
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
JMLR 2016
Optimal Estimation of Derivatives in Nonparametric Regression
JMLR 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
JMLR 2016
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means
JMLR 2016
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions
JMLR 2016
Covariance-based Clustering in Multivariate and Functional Data Analysis
JMLR 2016
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization
JMLR 2016
Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration
JMLR 2016
Trend Filtering on Graphs
JMLR 2016
e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem
JMLR 2016
<
1
…
119
120
121
…
157
>