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)
Fast Rates for Online Prediction with Abstention
COLT 2020
Fast Unbalanced Optimal Transport on a Tree
NeurIPS 2020
Fast Uniform Dispersion of a Crash-prone Swarm
RSS 2020
Fatigue-Aware Bandits for Dependent Click Models
AAAI 2020
Favorite-Candidate Voting for Eliminating the Least Popular Candidate in a Metric Space
AAAI 2020
Federated Accelerated Stochastic Gradient Descent
NeurIPS 2020
FedSplit: an algorithmic framework for fast federated optimization
NeurIPS 2020
Feedback graph regret bounds for Thompson Sampling and UCB
ALT 2020
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
AISTATS 2020
Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory
L4DC 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
NeurIPS 2020
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
ICML 2020
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach
IJCAI 2020
Finding All ε-Good Arms in Stochastic Bandits
NeurIPS 2020
Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining
AAAI 2020
Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes
AAAI 2020
Finding Most Compatible Phylogenetic Trees over Multi-State Characters
AAAI 2020
Finding Robust Nash equilibria
ALT 2020
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
NeurIPS 2020
Finite Continuum-Armed Bandits
NeurIPS 2020
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning
COLT 2020
Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards
NeurIPS 2020
Finite-Time Convergence in Continuous-Time Optimization
ICML 2020
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games
ICML 2020
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation
L4DC 2020