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)
Near-optimal Differentially Private Principal Components
NeurIPS 2012
Near-Optimal MAP Inference for Determinantal Point Processes
NeurIPS 2012
Newton-Like Methods for Sparse Inverse Covariance Estimation
NeurIPS 2012
No Internal Regret via Neighborhood Watch
AISTATS 2012
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates
NeurIPS 2012
Non-parametric Approximate Dynamic Programming via the Kernel Method
NeurIPS 2012
No-Regret Algorithms for Unconstrained Online Convex Optimization
NeurIPS 2012
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
AISTATS 2012
On Bayesian Upper Confidence Bounds for Bandit Problems
AISTATS 2012
On Bisubmodular Maximization
AISTATS 2012
Online allocation and homogeneous partitioning for piecewise constant mean-approximation
NeurIPS 2012
Online Clustering of Processes
AISTATS 2012
Online L1-Dictionary Learning with Application to Novel Document Detection
NeurIPS 2012
Online Optimization with Gradual Variations
COLT 2012
Online Rank Aggregation
ACML 2012
Online Submodular Minimization
JMLR 2012
Online Sum-Product Computation Over Trees
NeurIPS 2012
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits
AISTATS 2012
On Multilabel Classification and Ranking with Partial Feedback
NeurIPS 2012
On the Sample Complexity of Robust PCA
NeurIPS 2012
On the Structure of Nonlinearities in Pose Graph SLAM
RSS 2012
Optimal Control with Weighted Average Costs and Temporal Logic Specifications
RSS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss
NeurIPS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization
NeurIPS 2012
Optimistic Bayesian Sampling in Contextual-Bandit Problems
JMLR 2012