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Optimization

14,983 papers

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Papers

depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers JMLR 2025
Optimizing Data Collection for Machine Learning JMLR 2025
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
Scaling Data-Constrained Language Models JMLR 2025
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025
Instability, Computational Efficiency and Statistical Accuracy JMLR 2025
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025
Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025
Optimization Over a Probability Simplex JMLR 2025
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025
Dynamic angular synchronization under smoothness constraints JMLR 2025
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification JMLR 2025
High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025
Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles JMLR 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025
DRM Revisited: A Complete Error Analysis JMLR 2025
Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions JMLR 2025
Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025