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)
Learning Non-Linear Combinations of Kernels
NeurIPS 2009
Learning Permutations with Exponential Weights
JMLR 2009
Learning with Compressible Priors
NeurIPS 2009
Local Rules for Global MAP: When Do They Work ?
NeurIPS 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences
JMLR 2009
LQR-trees: Feedback motion planning on sparse randomized trees
RSS 2009
Matrix Completion from Noisy Entries
NeurIPS 2009
Matrix Completion from Power-Law Distributed Samples
NeurIPS 2009
Multi-Label Prediction via Compressed Sensing
NeurIPS 2009
Multiple Incremental Decremental Learning of Support Vector Machines
NeurIPS 2009
Nash Equilibria of Static Prediction Games
NeurIPS 2009
Noisy Generalized Binary Search
NeurIPS 2009
Nonparametric Greedy Algorithms for the Sparse Learning Problem
NeurIPS 2009
On Learning Rotations
NeurIPS 2009
Online Learning of Assignments
NeurIPS 2009
Online Learning with Sample Path Constraints
JMLR 2009
On Stochastic and Worst-case Models for Investing
NeurIPS 2009
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
NeurIPS 2009
On the complexity of the set of three-finger caging grasps of convex polygons
RSS 2009
On the Convergence of the Concave-Convex Procedure
NeurIPS 2009
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
JMLR 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
NeurIPS 2009
Particle Swarm Model Selection
JMLR 2009
Positioning unmanned aerial vehicles as communication relays for surveillance tasks
RSS 2009
Prediction With Expert Advice For The Brier Game
JMLR 2009