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)
Double Auctions with Two-sided Bandit Feedback
NeurIPS 2023
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
AAAI 2023
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee
NeurIPS 2023
Doubly Adversarial Federated Bandits
ICML 2023
Doubly Fair Dynamic Pricing
AISTATS 2023
Doubly Optimal No-Regret Learning in Monotone Games
ICML 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence
JMLR 2023
DRCFS: Doubly Robust Causal Feature Selection
ICML 2023
Dynamical Linear Bandits
ICML 2023
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time
ICML 2023
Dynamic Flows on Curved Space Generated by Labeled Data
IJCAI 2023
Dynamic Non-monotone Submodular Maximization
NeurIPS 2023
Dynamic Pricing and Learning with Bayesian Persuasion
NeurIPS 2023
Dynamic Pricing with Volume Discounts in Online Settings
AAAI 2023
Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method
JMLR 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
AAAI 2023
Editable Image Geometric Abstraction via Neural Primitive Assembly
ICCV 2023
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
NeurIPS 2023
Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages
EMNLP 2023
Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract)
AAAI 2023
Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers
IJCAI 2023
Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination
NeurIPS 2023
Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract)
IJCAI 2023
Efficient Discrete Multi Marginal Optimal Transport Regularization
ICLR 2023
Efficient displacement convex optimization with particle gradient descent
ICML 2023