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
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Papers (including subtopics)
Stochastic Wasserstein Barycenters
ICML 2018
Stochastic Zeroth-order Optimization in High Dimensions
AISTATS 2018
Stratification for Constraint-Based Multi-Objective Combinatorial Optimization
IJCAI 2018
Streaming kernel regression with provably adaptive mean, variance, and regularization
JMLR 2018
Structured Gaussian Processes with Twin Multiple Kernel Learning
ACML 2018
Structured Local Minima in Sparse Blind Deconvolution
NeurIPS 2018
Structured Optimal Transport
AISTATS 2018
Structure From Recurrent Motion: From Rigidity to Recurrency
CVPR 2018
Submatrix localization via message passing
JMLR 2018
Submodularity on Hypergraphs: From Sets to Sequences
AISTATS 2018
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
NeurIPS 2018
Subpolynomial trace reconstruction for random strings \{and arbitrary deletion probability
COLT 2018
Subsampling for Ridge Regression via Regularized Volume Sampling
AISTATS 2018
Subspace Embedding and Linear Regression with Orlicz Norm
ICML 2018
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
NeurIPS 2018
Testing Symmetric Markov Chains From a Single Trajectory
COLT 2018
The Computational Complexity of Distinctive Feature Minimization in Phonology
NAACL 2018
The Convergence of Sparsified Gradient Methods
NeurIPS 2018
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
JMLR 2018
The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference
ICML 2018
The Everlasting Database: Statistical Validity at a Fair Price
NeurIPS 2018
The Externalities of Exploration and How Data Diversity Helps Exploitation
COLT 2018
The Generalization Error of Dictionary Learning with Moreau Envelopes
ICML 2018
The Intricacies of Three-Valued Extensional Semantics for Higher-Order Logic Programs
IJCAI 2018
The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity
COLT 2018