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
'20
'25
Papers (including subtopics)
Minimax Regret Classifier for Imprecise Class Distributions
JMLR 2007
Multi-Task Learning via Conic Programming
NeurIPS 2007
New Outer Bounds on the Marginal Polytope
NeurIPS 2007
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections
JMLR 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
NeurIPS 2007
Parallelizing Support Vector Machines on Distributed Computers
NeurIPS 2007
Predictive Matrix-Variate t Models
NeurIPS 2007
Progressive mixture rules are deviation suboptimal
NeurIPS 2007
Random Features for Large-Scale Kernel Machines
NeurIPS 2007
Receding Horizon Differential Dynamic Programming
NeurIPS 2007
Refinable Kernels
JMLR 2007
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
NeurIPS 2007
Scan Strategies for Meteorological Radars
NeurIPS 2007
Selecting Observations against Adversarial Objectives
NeurIPS 2007
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
NeurIPS 2007
SpAM: Sparse Additive Models
NeurIPS 2007
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
NeurIPS 2007
The On-Line Shortest Path Problem Under Partial Monitoring
JMLR 2007
The Price of Bandit Information for Online Optimization
NeurIPS 2007
Ultrafast Monte Carlo for Statistical Summations
NeurIPS 2007
Value Regularization and Fenchel Duality
JMLR 2007
Variational Inference for Diffusion Processes
NeurIPS 2007
A Complexity-Distortion Approach to Joint Pattern Alignment
NeurIPS 2006
Active learning for misspecified generalized linear models
NeurIPS 2006
Adaptive Dynamics with Efficient Contact Handling for Articulated Robots
RSS 2006