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)
Online Learning for Min Sum Set Cover and Pandora’s Box
ICML 2022
Online Learning of Reusable Abstract Models for Object Goal Navigation
CVPR 2022
Online Learning to Transport via the Minimal Selection Principle
COLT 2022
Online Learning with Knapsacks: the Best of Both Worlds
ICML 2022
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
NeurIPS 2022
Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case
JMLR 2022
Online Nonnegative CP-dictionary Learning for Markovian Data
JMLR 2022
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
ICML 2022
Online PAC-Bayes Learning
NeurIPS 2022
Online Page Migration with ML Advice
AISTATS 2022
Online Search with Best-Price and Query-Based Predictions
AAAI 2022
Online Task Assignment Problems with Reusable Resources
AAAI 2022
On Low-rank Trace Regression under General Sampling Distribution
JMLR 2022
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
ICML 2022
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
AISTATS 2022
On Probabilistic Generalization of Backdoors in Boolean Satisfiability
AAAI 2022
On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations
JMLR 2022
On Scalable Testing of Samplers
NeurIPS 2022
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
AISTATS 2022
On the Complexity of Approximating Multimarginal Optimal Transport
JMLR 2022
On the complexity of the optimal transport problem with graph-structured cost
AISTATS 2022
On the Convergence of Continuous Constrained Optimization for Structure Learning
AISTATS 2022
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
ICML 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
ICML 2022
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
AISTATS 2022