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)
Neural Solver Selection for Combinatorial Optimization
ICML 2025
Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)
AAAI 2025
New Algorithms for #2-SAT and #3-SAT
IJCAI 2025
New Bounds for Sparse Variational Gaussian Processes
ICML 2025
New Lower Bounds for Non-Convex Stochastic Optimization through Divergence Decomposition
COLT 2025
New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets
IJCAI 2025
Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
ICLR 2025
Noise May Drown Out Words but Foster Compositionality: The Advantage of the Erasure and Deletion Noisy Channels on Emergent Communication
IJCNLP 2025
Noisy Computing of the Threshold Function
ALT 2025
Noisy Low-Rank Matrix Completion via Transformed L_1 Regularization and its Theoretical Properties
AISTATS 2025
Noisy SIGNSGD Is More Differentially Private Than You (Might) Think
ICML 2025
Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation
ICLR 2025
Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails
ICML 2025
Non-asymptotic Error Bounds in W_2-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity
ICML 2025
Non-Asymptotic Length Generalization
ICML 2025
Nonconvex Linear System Identification with Minimal State Representation
L4DC 2025
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract
COLT 2025
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
JMLR 2025
Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping
ICLR 2025
Non-Convex Tensor Recovery from Local Measurements
AAAI 2025
Nonconvex Theory of M-estimators with Decomposable Regularizers
ICML 2025
Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling
ICLR 2025
Non-Euclidean High-Order Smooth Convex Optimization Extended Abstract
COLT 2025
Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
ICML 2025
Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely (Extended Abstract)
COLT 2025