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)
On Nesting Monte Carlo Estimators
ICML 2018
On preserving non-discrimination when combining expert advice
NeurIPS 2018
On the Complexity of Chore Division
IJCAI 2018
On the Convergence of Adam and Beyond
ICLR 2018
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization
IJCAI 2018
On the Efficiency of Data Collection for Crowdsourced Classification
IJCAI 2018
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
NeurIPS 2018
On the insufficiency of existing momentum schemes for Stochastic Optimization
ICLR 2018
On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms
RSS 2018
On the Local Minima of the Empirical Risk
NeurIPS 2018
On the Logical Properties of the Description Logic DL^N (Extended abstract)
IJCAI 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo
ICML 2018
On Tight Bounds for the Lasso
JMLR 2018
On Truly Block Eigensolvers via Riemannian Optimization
AISTATS 2018
Open Loop Execution of Tree-Search Algorithms
IJCAI 2018
Opinion Diffusion and Campaigning on Society Graphs
IJCAI 2018
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
NeurIPS 2018
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
NeurIPS 2018
Optimal Bidding Strategy for Brand Advertising
IJCAI 2018
Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation
IJCAI 2018
Optimal Solution of the Generalized Dubins Interval Problem
RSS 2018
Optimal Structured Light à La Carte
CVPR 2018
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data
ICML 2018
Optimistic optimization of a Brownian
NeurIPS 2018
Optimization, fast and slow: optimally switching between local and Bayesian optimization
ICML 2018