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)
Counterfactual Programming for Optimal Control
L4DC 2020
Covariance-adapting algorithm for semi-bandits with application to sparse outcomes
COLT 2020
Cross-Lingual Dependency Parsing by POS-Guided Word Reordering
EMNLP 2020
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
NeurIPS 2020
Customizing ML Predictions for Online Algorithms
ICML 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
NeurIPS 2020
Data-Driven Distributed Predictive Control via Network Optimization
L4DC 2020
Data-driven distributionally robust LQR with multiplicative noise
L4DC 2020
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate
AISTATS 2020
Ddo, a Generic and Efficient Framework for MDD-Based Optimization
IJCAI 2020
Debiased Sinkhorn barycenters
ICML 2020
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization
NeurIPS 2020
Decentralized Accelerated Proximal Gradient Descent
NeurIPS 2020
Decentralized Multi-player Multi-armed Bandits with No Collision Information
AISTATS 2020
Deciding Acceptance in Incomplete Argumentation Frameworks
AAAI 2020
Decisions, Counterfactual Explanations and Strategic Behavior
NeurIPS 2020
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers
CVPR 2020
Deep Implicit Volume Compression
CVPR 2020
Deep Learning—Powered Iterative Combinatorial Auctions
AAAI 2020
Deep Learning Tubes for Tube MPC
RSS 2020
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization
AAAI 2020
Deep Statistical Solvers
NeurIPS 2020
Deep Variational Instance Segmentation
NeurIPS 2020
Defending with Shared Resources on a Network
AAAI 2020
Delay-Adaptive Distributed Stochastic Optimization
AAAI 2020