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)
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
ICML 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
NeurIPS 2022
Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation
JMLR 2022
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff
AISTATS 2022
Adaptively Partitioning Max-Affine Estimators for Convex Regression
AISTATS 2022
Adaptive Oracle-Efficient Online Learning
NeurIPS 2022
Adaptive Random Walk Gradient Descent for Decentralized Optimization
ICML 2022
Adaptive Stochastic MPC under Unknown Noise Distribution
L4DC 2022
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
NeurIPS 2022
Additive Nonlinear Quantile Regression in Ultra-high Dimension
JMLR 2022
A Deep Reinforcement Learning Framework for Column Generation
NeurIPS 2022
Adiabatic Quantum Computing for Multi Object Tracking
CVPR 2022
A Difference Standardization Method for Mutual Transfer Learning
ICML 2022
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem
NeurIPS 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence
AISTATS 2022
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems
AAAI 2022
Adversarial Attacks on Gaussian Process Bandits
ICML 2022
Adversarially Robust Kernel Smoothing
AISTATS 2022
Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory
AISTATS 2022
A Fast Algorithm for PAC Combinatorial Pure Exploration
AAAI 2022
A fast and accurate splitting method for optimal transport: analysis and implementation
ICLR 2022
A Fast Local Search Algorithm for the Latin Square Completion Problem
AAAI 2022
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
NeurIPS 2022
A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II)
AAAI 2022
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
NeurIPS 2022