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Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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16
133
440
1,353
1,441
2000
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Papers (including subtopics)

A Method of Perceptual-Based Shape Decomposition ICCV 2013 A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments CVPR 2013 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 An Approximate, Efficient LP Solver for LP Rounding NeurIPS 2013 A near-optimal algorithm for finite partial-monitoring games against adversarial opponents COLT 2013 A New Convex Relaxation for Tensor Completion NeurIPS 2013 A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems CVPR 2013 An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision CVPR 2013 A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models ICCV 2013 A Novel Two-Step Method for Cross Language Representation Learning NeurIPS 2013 A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013 Approachability, fast and slow COLT 2013 Approximate Inference in Collective Graphical Models ICML 2013 Approximating the Permanent with Fractional Belief Propagation JMLR 2013 A Practical Rank-Constrained Eight-Point Algorithm for Fundamental Matrix Estimation CVPR 2013 A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013 A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013 Area Preserving Brain Mapping CVPR 2013 A simple sketching algorithm for entropy estimation over streaming data AISTATS 2013 A Statistical Model for Recreational Trails in Aerial Images CVPR 2013 A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret COLT 2013 Automatic Online Calibration of Cameras and Lasers RSS 2013 Auxiliary Cuts for General Classes of Higher Order Functionals CVPR 2013 Bayesian Games for Adversarial Regression Problems ICML 2013 Bayesian optimization explains human active search NeurIPS 2013