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
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Papers (including subtopics)
Is Planted Coloring Easier than Planted Clique?
COLT 2023
Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation
ACL 2023
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
JMLR 2023
Iterative Superquadric Recomposition of 3D Objects from Multiple Views
ICCV 2023
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
EMNLP 2023
Jointly Imputing Multi-View Data with Optimal Transport
AAAI 2023
Kajibuntan: A House Chore Division App
AAAI 2023
Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches
JMLR 2023
Kernel Quadrature with Randomly Pivoted Cholesky
NeurIPS 2023
Kernel QuantTree
ICML 2023
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
NeurIPS 2023
KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization
UAI 2023
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces
AISTATS 2023
K∗ Search over Orbit Space for Top-k Planning
IJCAI 2023
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
NeurIPS 2023
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
ICLR 2023
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
NeurIPS 2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
NeurIPS 2023
Langevin Quasi-Monte Carlo
NeurIPS 2023
Large deviations rates for stochastic gradient descent with strongly convex functions
AISTATS 2023
Large-scale similarity search with Optimal Transport
EMNLP 2023
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games
AISTATS 2023
Last Switch Dependent Bandits with Monotone Payoff Functions
ICML 2023
LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application
ACL 2023
Lazy-k Decoding: Constrained Decoding for Information Extraction
EMNLP 2023