Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
8
13
8
24
100
100
125
139
182
227
311
530
574
599
676
880
1,053
1,491
1,739
1,880
1,904
2,070
2,345
1,785
517
2000
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Papers (including subtopics)
AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos
AAAI 2023
An Improved Algorithm for Online Min-Sum Set Cover
AAAI 2023
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing
AAAI 2023
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
NeurIPS 2023
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization
JMLR 2023
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity
JMLR 2023
An Information-Theoretic Analysis of Nonstationary Bandit Learning
ICML 2023
An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions
NeurIPS 2023
An Information Theory Perspective on Variance-Invariance-Covariance Regularization
NeurIPS 2023
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization
AISTATS 2023
Anonymous and Copy-Robust Delegations for Liquid Democracy
NeurIPS 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
NeurIPS 2023
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
NeurIPS 2023
An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
NeurIPS 2023
A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC
IJCAI 2023
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence
NeurIPS 2023
A Novel Integer Linear Programming Approach for Global L0 Minimization
JMLR 2023
An Unpooling Layer for Graph Generation
AISTATS 2023
Anytime Model Selection in Linear Bandits
NeurIPS 2023
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment
NeurIPS 2023
A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition
JMLR 2023
A PDE approach for regret bounds under partial monitoring
JMLR 2023
A Permutation-Free Kernel Independence Test
JMLR 2023
Applied Online Algorithms with Heterogeneous Predictors
ICML 2023
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders
NeurIPS 2023