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)
Learning Multiple Secrets in Mastermind
ICML 2024
Learning multivariate temporal point processes via the time-change theorem
AISTATS 2024
Learning Nash Equilibria in Rank-1 Games
ICLR 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
NeurIPS 2024
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
ICLR 2024
Learning Optimal Tax Design in Nonatomic Congestion Games
NeurIPS 2024
Learning Partitions from Context
NeurIPS 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
AAAI 2024
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
NeurIPS 2024
Learning Pseudo-Contractive Denoisers for Inverse Problems
ICML 2024
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
ICML 2024
Learning Reduced Fluid Dynamics
AAAI 2024
Learning Regularized Graphon Mean-Field Games with Unknown Graphons
JMLR 2024
Learning relevant contextual variables within Bayesian optimization
UAI 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
AAAI 2024
Learning Small Decision Trees with Few Outliers: A Parameterized Perspective
AAAI 2024
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
ICML 2024
Learning Spanning Forests Optimally in Weighted Undirected Graphs with CUT queries
ALT 2024
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
ICML 2024
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
NeurIPS 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits
AISTATS 2024
Learning the Topology and Behavior of Discrete Dynamical Systems
AAAI 2024
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
ICML 2024
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract)
AAAI 2024
Learning to compute Gröbner bases
NeurIPS 2024