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
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Papers (including subtopics)
A Fast, Consistent Kernel Two-Sample Test
NeurIPS 2009
A Game-Theoretic Approach to Hypergraph Clustering
NeurIPS 2009
A Gaussian Tree Approximation for Integer Least-Squares
NeurIPS 2009
A General Projection Property for Distribution Families
NeurIPS 2009
Analysis of SVM with Indefinite Kernels
NeurIPS 2009
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs
JMLR 2009
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
NeurIPS 2009
An LP View of the M-best MAP problem
NeurIPS 2009
A Parameter-free Hedging Algorithm
NeurIPS 2009
A Smoothed Approximate Linear Program
NeurIPS 2009
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
NeurIPS 2009
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
NeurIPS 2009
A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers
NeurIPS 2009
Beyond Convexity: Online Submodular Minimization
NeurIPS 2009
CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning
JMLR 2009
Complexity of Decentralized Control: Special Cases
NeurIPS 2009
Compositionality of optimal control laws
NeurIPS 2009
Compressed Least-Squares Regression
NeurIPS 2009
Convex Relaxation of Mixture Regression with Efficient Algorithms
NeurIPS 2009
Data-driven calibration of linear estimators with minimal penalties
NeurIPS 2009
Data-driven Calibration of Penalties for Least-Squares Regression
JMLR 2009
Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods
JMLR 2009
Directed Regression
NeurIPS 2009
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization
NeurIPS 2009
DUOL: A Double Updating Approach for Online Learning
NeurIPS 2009