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)
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport
ICML 2021
Information-constrained optimization: can adaptive processing of gradients help?
NeurIPS 2021
Information Directed Sampling for Sparse Linear Bandits
NeurIPS 2021
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
NeurIPS 2021
Instance Specific Approximations for Submodular Maximization
ICML 2021
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
AISTATS 2021
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization
AAAI 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
ICML 2021
Interpretable Sequence Classification via Discrete Optimization
AAAI 2021
Interpreting Multivariate Shapley Interactions in DNNs
AAAI 2021
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs
ALT 2021
Inverse Reinforcement Learning with Explicit Policy Estimates
AAAI 2021
Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control
CVPR 2021
Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling
AAAI 2021
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
NeurIPS 2021
It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels
COLT 2021
Jerk-limited Real-time Trajectory Generation with Arbitrary Target States
RSS 2021
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing
AAAI 2021
Jointly Learning Prices and Product Features
IJCAI 2021
Joint Online Learning and Decision-making via Dual Mirror Descent
ICML 2021
Joint Online Multichannel Acoustic Echo Cancellation, Speech Dereverberation and Source Separation
Interspeech 2021
(Just) A Spoonful of Refinements Helps the Registration Error Go Down
ICCV 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
NeurIPS 2021
Keep Your Distance: Land Division With Separation
IJCAI 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
AISTATS 2021