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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)

Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD JMLR 2023
Near-Optimal Weighted Matrix Completion JMLR 2023
A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits JMLR 2023
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty JMLR 2023
A PDE approach for regret bounds under partial monitoring JMLR 2023
Sensitivity-Free Gradient Descent Algorithms JMLR 2023
Two Sample Testing in High Dimension via Maximum Mean Discrepancy JMLR 2023
Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation JMLR 2023
Prediction Equilibrium for Dynamic Network Flows JMLR 2023
Microcanonical Hamiltonian Monte Carlo JMLR 2023
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave Minimax Problems JMLR 2023
Mixed Regression via Approximate Message Passing JMLR 2023
Operator learning with PCA-Net: upper and lower complexity bounds JMLR 2023
Higher-Order Spectral Clustering Under Superimposed Stochastic Block Models JMLR 2023
Scale Invariant Power Iteration JMLR 2023
Reproducing Kernels and New Approaches in Compositional Data Analysis JMLR 2023
Bandit problems with fidelity rewards JMLR 2023
Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023
Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters JMLR 2023
Community Recovery in the Geometric Block Model JMLR 2023
Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems JMLR 2023
Large data limit of the MBO scheme for data clustering: convergence of the dynamics JMLR 2023
Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning JMLR 2023
Linear Partial Monitoring for Sequential Decision Making: Algorithms, Regret Bounds and Applications JMLR 2023