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
'10
'15
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'25
Papers (including subtopics)
Game Theoretic Analysis of Security and Sustainability
IJCAI 2017
Gap Safe Screening Rules for Sparsity Enforcing Penalties
JMLR 2017
Gaussian Quadrature for Kernel Features
NeurIPS 2017
Generalized Conditional Gradient for Sparse Estimation
JMLR 2017
Generalized Linear Model Regression under Distance-to-set Penalties
NeurIPS 2017
Generating Context-Free Grammars using Classical Planning
IJCAI 2017
Geodesic Distance Descriptors
CVPR 2017
Geometric Descent Method for Convex Composite Minimization
NeurIPS 2017
Geometry of 3D Environments and Sum of Squares Polynomials
RSS 2017
Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot
AISTATS 2017
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
ICML 2017
Global optimization of Lipschitz functions
ICML 2017
Gradient Coding: Avoiding Stragglers in Distributed Learning
ICML 2017
Gradient Descent Can Take Exponential Time to Escape Saddle Points
NeurIPS 2017
Gradient Methods for Submodular Maximization
NeurIPS 2017
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
ICML 2017
Graph Matching via Multiplicative Update Algorithm
NeurIPS 2017
Graph Verification with a Betweenness Oracle
ALT 2017
Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering
CVPR 2017
Greed Is Good: Near-Optimal Submodular Maximization via Greedy Optimization
COLT 2017
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
NeurIPS 2017
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain
AISTATS 2017
Group Sparse Optimization via lp,q Regularization
JMLR 2017
Group-Wise Point-Set Registration Based on Renyi's Second Order Entropy
CVPR 2017
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization
ICML 2017