Papers
16,557 papers found
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Jing Xue, Zhishen Sun, Haishan Ye et al.
Towards Provably Unlearnable Examples via Bayes Error Optimization
Ruihan Zhang, Jun Sun, Ee-Peng Lim et al.
Satisficing and Optimal Generalised Planning via Goal Regression
Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen et al.
A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation
Francesco Doria, Francesco Percassi, Marco Maratea et al.
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
Haoyu Lei, Kaiwen Zhou, Yinchuan Li et al.
Dominance Pruning and Heuristics in Optimal Adversarial Non-Deterministic Planning
Rasmus G. Tollund, Álvaro Torralba
Optimization of Multi-Agent Flying Sidekick Traveling Salesman Problem over Road Networks
Ruixiao Yang, Chuchu Fan
Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
Rui Zhang, Jianwei Niu, Xuefeng Liu et al.
Conformal Prediction for Multi-Source Detection on a Network
Xingchao Jian, Purui Zhang, Lan Tian et al.
MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization
Hui Li, Huafeng Liu, Yiran Fu et al.
Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization
Xin Chen, Chunfeng Cui, Deren Han et al.
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Ji Cheng, Bo Xue, Qingfu Zhang
Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
Maxim Divilkovskiy, Alexander Gasnikov
Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA
Yukun Du, Haiyue Yu, Xiaotong Xie et al.
ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
Ha Minh Hieu, Hung Phan, Tung Duy Doan et al.
EvoGrad: Evolutionary-Weighted Gradient and Hessian Learning for Black-Box Optimization
Yedidya Kfir, Elad Sarafian, Yoram Louzoun et al.
MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework
Nguyen Viet Tuan Kiet, Tung Dao, Cong Dao Tran et al.
Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization
Jintao Li, Zhenxin Chen, Sicheng He et al.
Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization
Yuanshu Li, Di Wang, Wei Du et al.
Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
Shengjie Ren, Zimin Liang, Miqing Li et al.
Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering
Chen Wang, Yue-Jiao Gong, Zhiguang Cao et al.
TAPO: Dynamic Teacher and Perturbed Answer Injection for Policy Optimization
Maowei Jiang, Zihang Wang, Qi Wang et al.
Selective Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
SRAM: Shape-Realism Alignment Metric for No Reference 3D Shape Evaluation
Sheng Liu, Tianyu Luan, Phani Nuney et al.