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)
Combinatorial Bandits with Relative Feedback
NeurIPS 2019
Combinatorial Bayesian Optimization using the Graph Cartesian Product
NeurIPS 2019
Combinatorial Persistency Criteria for Multicut and Max-Cut
CVPR 2019
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints
IJCAI 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training
EMNLP 2019
Combining Online Learning Guarantees
COLT 2019
Communication and Memory Efficient Testing of Discrete Distributions
COLT 2019
Communication-Efficient Stochastic Gradient MCMC for Neural Networks
AAAI 2019
Communication trade-offs for Local-SGD with large step size
NeurIPS 2019
Comparing distributions: ℓ_1 geometry improves kernel two-sample testing
NeurIPS 2019
Comparing EM with GD in Mixture Models of Two Components
UAI 2019
Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games
ICML 2019
Competitive Gradient Descent
NeurIPS 2019
Competitive ratio vs regret minimization: achieving the best of both worlds
ALT 2019
Complete Search for Feature Selection in Decision Trees
JMLR 2019
Complexities in Projection-Free Stochastic Non-convex Minimization
AISTATS 2019
Complexity of Highly Parallel Non-Smooth Convex Optimization
NeurIPS 2019
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
ICML 2019
Computational Aspects of Equilibria in Discrete Preference Games
IJCAI 2019
Computational Intractability and Solvability for the Birds of a Feather Game
AAAI 2019
Computational Separations between Sampling and Optimization
NeurIPS 2019
Computation Efficient Coded Linear Transform
AISTATS 2019
Computer Generation of Birds of a Feather Puzzles
AAAI 2019
Computing Full Conformal Prediction Set with Approximate Homotopy
NeurIPS 2019
Computing the Yolk in Spatial Voting Games without Computing Median Lines
AAAI 2019