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)
On Coresets for Logistic Regression
NeurIPS 2018
On denoising modulo 1 samples of a function
AISTATS 2018
On Fair Price Discrimination in Multi-Unit Markets
IJCAI 2018
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
JMLR 2018
On Fast Leverage Score Sampling and Optimal Learning
NeurIPS 2018
Online Adaptive Methods, Universality and Acceleration
NeurIPS 2018
Online Continuous Submodular Maximization
AISTATS 2018
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes
IJCAI 2018
Online convex optimization for cumulative constraints
NeurIPS 2018
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments
AISTATS 2018
Online Improper Learning with an Approximation Oracle
NeurIPS 2018
Online Kernel Selection via Incremental Sketched Kernel Alignment
IJCAI 2018
Online Learning of Combinatorial Objects via Extended Formulation
ALT 2018
Online Learning of Quantum States
NeurIPS 2018
Online Learning with Abstention
ICML 2018
Online Learning with an Unknown Fairness Metric
NeurIPS 2018
Online Learning with Non-Convex Losses and Non-Stationary Regret
AISTATS 2018
Online Linear Quadratic Control
ICML 2018
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations
IJCAI 2018
Online Reciprocal Recommendation with Theoretical Performance Guarantees
NeurIPS 2018
Online Regression with Partial Information: Generalization and Linear Projection
AISTATS 2018
Online Variance Reduction for Stochastic Optimization
COLT 2018
On Markov Chain Gradient Descent
NeurIPS 2018
On Matching Pursuit and Coordinate Descent
ICML 2018
On Misinformation Containment in Online Social Networks
NeurIPS 2018