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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

On the Approximation of Kernel functions JMLR 2025
Extremal graphical modeling with latent variables via convex optimization JMLR 2025
Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025
Manifold Fitting under Unbounded Noise JMLR 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
Composite Goodness-of-fit Tests with Kernels JMLR 2025
Curvature-based Clustering on Graphs JMLR 2025
Variance-Aware Estimation of Kernel Mean Embedding JMLR 2025
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025
Estimation of Local Geometric Structure on Manifolds from Noisy Data JMLR 2025
Instability, Computational Efficiency and Statistical Accuracy JMLR 2025
Deletion Robust Non-Monotone Submodular Maximization over Matroids JMLR 2025
Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025
Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025
Optimization Over a Probability Simplex JMLR 2025
Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025
Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds JMLR 2025
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025
Dynamic angular synchronization under smoothness constraints JMLR 2025
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences JMLR 2025
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares JMLR 2025
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling JMLR 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs JMLR 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025