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
'10
'15
'20
'25
Papers (including subtopics)
Lower Bounds for Parallel and Randomized Convex Optimization
COLT 2019
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization
ICML 2019
Lower Bounds on Adversarial Robustness from Optimal Transport
NeurIPS 2019
Low-Rank Approximations of Second-Order Document Representations
CoNLL 2019
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
NeurIPS 2019
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning
EMNLP 2019
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition
CVPR 2019
Low-Rank Semidefinite Programming for the MAX2SAT Problem
AAAI 2019
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms
CVPR 2019
MAGSAC: Marginalizing Sample Consensus
CVPR 2019
Making Money from What You Know - How to Sell Information?
AAAI 2019
Making the Cut: A Bandit-based Approach to Tiered Interviewing
NeurIPS 2019
Making the Last Iterate of SGD Information Theoretically Optimal
COLT 2019
Massively scalable Sinkhorn distances via the Nyström method
NeurIPS 2019
Matching with Constraints
IJCAI 2019
Matrix-Free Preconditioning in Online Learning
ICML 2019
Matroid Constrained Fair Allocation Problem
AAAI 2019
Matroids, Matchings, and Fairness
AISTATS 2019
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
NeurIPS 2019
MaxHedge: Maximizing a Maximum Online
AISTATS 2019
Maximin-Aware Allocations of Indivisible Goods
IJCAI 2019
Maximum Entropy Distributions: Bit Complexity and Stability
COLT 2019
Max-value Entropy Search for Multi-Objective Bayesian Optimization
NeurIPS 2019
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions
AAAI 2019
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
AAAI 2019