Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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8
13
8
24
100
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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)
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
NeurIPS 2024
Analytically Tractable Models for Decision Making under Present Bias
AAAI 2024
Analyzing D^α seeding for k-means
ICML 2024
An Analysis of Elo Rating Systems via Markov Chains
NeurIPS 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning
NeurIPS 2024
An Approximate Skolem Function Counter
AAAI 2024
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
IJCAI 2024
Anchor and Broadcast: An Efficient Concept Alignment Approach for Evaluation of Semantic Graphs
COLING 2024
An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes
AAAI 2024
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering
ICML 2024
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
NeurIPS 2024
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
ICML 2024
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
NeurIPS 2024
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization
AAAI 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning
ICML 2024
An Effective Polynomial Technique for Compiling Conditional Effects Away
AAAI 2024
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations
NeurIPS 2024
An Efficient Maximal Ancestral Graph Listing Algorithm
ICML 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
AISTATS 2024
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates
JMLR 2024
An engine not a camera: Measuring performative power of online search
NeurIPS 2024
An Equivalence Between Static and Dynamic Regret Minimization
NeurIPS 2024
A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints
IJCAI 2024
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem
WACV 2024
A New Branch-and-Bound Pruning Framework for ℓ_0-Regularized Problems
ICML 2024