convex optimization

1320 papers

Explore in graph

Also known as

ACO ADMM CO OCO

Co-occurring keywords

stochastic optimization (1060) convergence rate (606) stochastic gradient descent (1088) gradient descent (1143) online learning (1770) support vector machine (976) matrix completion (356) regret bound (1918) kernel methods (1096) sparse optimization (246)

Papers

Colonel Blotto with Battlefield Games AAAI 2026

GHOST: Solving the Traveling Salesman Problem on Graphs of Convex Sets AAAI 2026

S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems AAAI 2026

The Power of Initial Investigation in Audit Games AAAI 2026

Beyond Binary Erasure: Soft-Weighted Unlearning for Fairness and Robustness AAAI 2026

Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks AAAI 2026

Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment AAAI 2026

Group Fair Matchings Using Convex Cost Functions AAAI 2026

Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint) AAAI 2026

General Loss Functions Lead to (Approximate) Interpolation in High Dimensions JMLR 2025

Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025

De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025

Building Rome with Convex Optimization RSS 2025

A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning JMLR 2025

Hierarchical Temporal Logic Task and Motion Planning for Multi-Robot Systems RSS 2025

Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025

Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning AAAI 2025

On the Convergence of Tâtonnement for Linear Fisher Markets AAAI 2025

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts ICCV 2025

Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025

Approximating Metric Magnitude of Point Sets AAAI 2025

Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025

FISTAPruner: Layer-wise Post-training Pruning for Large Language Models EMNLP 2025

Locally Convex Global Loss Network for Decision-Focused Learning AAAI 2025

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025