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)
Accelerated Regularized Learning in Finite N-Person Games
NeurIPS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
AISTATS 2024
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
AAAI 2024
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
NeurIPS 2024
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
ICML 2024
Accelerating Matroid Optimization through Fast Imprecise Oracles
NeurIPS 2024
Accelerating Neural Field Training via Soft Mining
CVPR 2024
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition
JMLR 2024
Accelerating PDE Data Generation via Differential Operator Action in Solution Space
ICML 2024
Accelerating Relative Entropy Coding with Space Partitioning
NeurIPS 2024
Accelerating Sinkhorn algorithm with sparse Newton iterations
ICLR 2024
Acceleration and Implicit Regularization in Gaussian Phase Retrieval
AISTATS 2024
Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values
NeurIPS 2024
Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint)
AAAI 2024
Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process
NeurIPS 2024
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization
NeurIPS 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
NeurIPS 2024
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
NeurIPS 2024
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams
AAAI 2024
ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
ICML 2024
A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem
NeurIPS 2024
A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent
JMLR 2024
A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Manna
IJCAI 2024
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
NeurIPS 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
IJCAI 2024