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
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Papers (including subtopics)
Completing Any Low-rank Matrix, Provably
JMLR 2015
Composite Self-Concordant Minimization
JMLR 2015
Computational Complexity of Linear Large Margin Classification With Ramp Loss
AISTATS 2015
Computational Lower Bounds for Community Detection on Random Graphs
COLT 2015
Consistent Collective Matrix Completion under Joint Low Rank Structure
AISTATS 2015
Consistent Multiclass Algorithms for Complex Performance Measures
ICML 2015
Context-Guided Diffusion for Label Propagation on Graphs
ICCV 2015
Contextual Dueling Bandits
COLT 2015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
NeurIPS 2015
Convergence rate of Bayesian tensor estimator and its minimax optimality
ICML 2015
Convergence rates of sub-sampled Newton methods
NeurIPS 2015
Convex Optimization With Abstract Linear Operators
ICCV 2015
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
ICML 2015
Copeland Dueling Bandits
NeurIPS 2015
Correlation Clustering with Noisy Partial Information
COLT 2015
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
NeurIPS 2015
Decomposition Bounds for Marginal MAP
NeurIPS 2015
Deep learning with Elastic Averaging SGD
NeurIPS 2015
Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution
ICCV 2015
Depth Recovery From Light Field Using Focal Stack Symmetry
ICCV 2015
Direct Structure Estimation for 3D Reconstruction
CVPR 2015
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
ICML 2015
Discrete Hyper-Graph Matching
CVPR 2015
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction
CVPR 2015
Discrete Tabu Search for Graph Matching
ICCV 2015