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
1
2
6
6
5
16
67
72
80
102
133
171
219
398
425
440
487
649
812
1,162
1,353
1,487
1,474
1,600
1,870
1,441
372
2000
'5
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Papers (including subtopics)
Scene Labeling Using Beam Search Under Mutex Constraints
CVPR 2014
SeamSeg: Video Object Segmentation using Patch Seams
CVPR 2014
Second-Order Shape Optimization for Geometric Inverse Problems in Vision
CVPR 2014
Seeded Graph Matching for Correlated Erdos-Renyi Graphs
JMLR 2014
Segmentation-Free Dynamic Scene Deblurring
CVPR 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
NeurIPS 2014
Separable Kernel for Image Deblurring
CVPR 2014
Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation
CVPR 2014
Shaping Social Activity by Incentivizing Users
NeurIPS 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
NeurIPS 2014
Simple MAP Inference via Low-Rank Relaxations
NeurIPS 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
NeurIPS 2014
Smoothed Gradients for Stochastic Variational Inference
NeurIPS 2014
Sparse binary zero-sum games
ACML 2014
Sparse PCA via Covariance Thresholding
NeurIPS 2014
Sparse PCA with Oracle Property
NeurIPS 2014
Sparse Polynomial Learning and Graph Sketching
NeurIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
NeurIPS 2014
Sparse Reinforcement Learning via Convex Optimization
ICML 2014
Sparse Space-Time Deconvolution for Calcium Image Analysis
NeurIPS 2014
Sparsity and the Truncated l^2-norm
AISTATS 2014
Sparsity on Statistical Simplexes and Diversity in Social Ranking
ACML 2014
Spectral Bandits for Smooth Graph Functions
ICML 2014
Spectral Regularization for Max-Margin Sequence Tagging
ICML 2014
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
ICML 2014