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← Optimization
Mathematics & Optimization
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Optimization
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Convex Optimization
589 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 8
2007: 14
2008: 7
2009: 12
2010: 14
2011: 16
2012: 27
2013: 49
2014: 45
2015: 23
2016: 30
2017: 27
2018: 32
2019: 39
2020: 48
2021: 43
2022: 61
2023: 37
2024: 40
2025: 15
Papers
Robust Camera Location Estimation by Convex Programming
CVPR 2015
3D Shape Estimation From 2D Landmarks: A Convex Relaxation Approach
CVPR 2015
A Universal Catalyst for First-Order Optimization
NIPS 2015
Estimating Mixture Models via Mixtures of Polynomials
NIPS 2015
Analysis of Robust PCA via Local Incoherence
NIPS 2015
Convergence rates of sub-sampled Newton methods
NIPS 2015
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
NIPS 2015
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
NIPS 2015
The entropic barrier: a simple and optimal universal self-concordant barrier
COLT 2015
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing
ICML 2015
LMI-Based 2D-3D Registration: From Uncalibrated Images to Euclidean Scene
CVPR 2015
Adaptive Recovery of Signals by Convex Optimization
COLT 2015
Accelerated Mirror Descent in Continuous and Discrete Time
NIPS 2015
Convex Optimization With Abstract Linear Operators
ICCV 2015
Robust Nonrigid Registration by Convex Optimization
ICCV 2015
Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints
ICCV 2015
Sum-of-Squares Lower Bounds for Sparse PCA
NIPS 2015
A Universal Primal-Dual Convex Optimization Framework
NIPS 2015
Self Scaled Regularized Robust Regression
CVPR 2015
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
NIPS 2015
Constrained convex minimization via model-based excessive gap
NIPS 2014
Orbit Regularization
NIPS 2014
Open Problem: Tightness of maximum likelihood semidefinite relaxations
COLT 2014
An Accelerated Proximal Coordinate Gradient Method
NIPS 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
NIPS 2014
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