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)
Regret Analysis of the Finite-Horizon Gittins Index Strategy for Multi-Armed Bandits
COLT 2016
Regret of Queueing Bandits
NeurIPS 2016
Regularized Nonlinear Acceleration
NeurIPS 2016
Relaxation-Based Preprocessing Techniques for Markov Random Field Inference
CVPR 2016
Reshaped Wirtinger Flow for Solving Quadratic System of Equations
NeurIPS 2016
Revealing Graph Bandits for Maximizing Local Influence
AISTATS 2016
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
NeurIPS 2016
Rounding-based Moves for Semi-Metric Labeling
JMLR 2016
Sample Complexity of Automated Mechanism Design
NeurIPS 2016
Scalable and Sound Low-Rank Tensor Learning
AISTATS 2016
Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation
AISTATS 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
PGM 2016
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics
JMLR 2016
Scene Labeling Using Sparse Precision Matrix
CVPR 2016
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization
ICML 2016
SDP Relaxation with Randomized Rounding for Energy Disaggregation
NeurIPS 2016
Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions
CVPR 2016
Semidefinite Programs for Exact Recovery of a Hidden Community
COLT 2016
Semiparametric Differential Graph Models
NeurIPS 2016
Shape Analysis With Hyperbolic Wasserstein Distance
CVPR 2016
Shifting Regret, Mirror Descent, and Matrices
ICML 2016
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products
NeurIPS 2016
Similarity Metric For Curved Shapes In Euclidean Space
CVPR 2016
Simple and Efficient Weighted Minwise Hashing
NeurIPS 2016
Simplifying Gait Design via Shape Basis Optimization
RSS 2016