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)
An Effective Dynamic Gradient Calibration Method for Continual Learning
ICML 2024
An Effective Polynomial Technique for Compiling Conditional Effects Away
AAAI 2024
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
NeurIPS 2024
An Efficient Maximal Ancestral Graph Listing Algorithm
ICML 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
AISTATS 2024
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates
JMLR 2024
An engine not a camera: Measuring performative power of online search
NeurIPS 2024
An Equivalence Between Static and Dynamic Regret Minimization
NeurIPS 2024
A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints
IJCAI 2024
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem
WACV 2024
A New Branch-and-Bound Pruning Framework for ℓ_0-Regularized Problems
ICML 2024
A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration
IJCAI 2024
A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
ICML 2024
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
ICML 2024
An Exercise in Tournament Design: When Some Matches Must Be Scheduled
AAAI 2024
An Improved Algorithm for Learning Drifting Discrete Distributions
AISTATS 2024
An Inexact Projected Regularized Newton Method for Fused Zero-norms Regularization Problems
JMLR 2024
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
AAAI 2024
An invariant information geometric method for high-dimensional online optimization
L4DC 2024
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
NeurIPS 2024
A non-backtracking method for long matrix and tensor completion
COLT 2024
An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
ICML 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
JMLR 2024
An Optimal Transport View for Subspace Clustering and Spectral Clustering
AAAI 2024
A Note on Entrywise Consistency for Mixed-data Matrix Completion
JMLR 2024