convex optimization

Efficient Optimization Algorithms for Linear Adversarial Training AISTATS 2025 Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization ACL 2025 Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm ICLR 2025 Extended Convex Lifting for Policy Optimization of Optimal and Robust Control L4DC 2025 Extremal graphical modeling with latent variables via convex optimization JMLR 2025 Fast Algorithm for Constrained Linear Inverse Problems JMLR 2025 Fast and Reliable $N - k$ Contingency Screening with Input-Convex Neural Networks L4DC 2025 Fast training and sampling of Restricted Boltzmann Machines ICLR 2025 FISTAPruner: Layer-wise Post-training Pruning for Large Language Models EMNLP 2025 General Loss Functions Lead to (Approximate) Interpolation in High Dimensions JMLR 2025 Geometric Algebra Planes: Convex Implicit Neural Volumes ICML 2025 Gradient correlation is a key ingredient to accelerate SGD with momentum ICLR 2025 Hierarchical Temporal Logic Task and Motion Planning for Multi-Robot Systems RSS 2025 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025 Informative Input Design for Dynamic Mode Decomposition L4DC 2025 Koopman Based Trajectory Optimization with Mixed Boundaries L4DC 2025 Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025 Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025 Last Iterate Convergence of Incremental Methods as a Model of Forgetting ICLR 2025 Locally Convex Global Loss Network for Decision-Focused Learning AAAI 2025 Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025 MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures ICLR 2025 Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation ICLR 2025 Nonparametric Distributional Regression via Quantile Regression AISTATS 2025 On the Almost Sure Convergence of the Stochastic Three Points Algorithm ICLR 2025