min-max optimization

Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality ALT 2026 Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach L4DC 2026 Structured Credal Learning UAI 2026 When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models CVPR 2026 3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation ICCV 2025 Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties AISTATS 2025 Adversarial Training for Probabilistic Robustness ICCV 2025 A Novel Convex Gaussian Min Max Theorem for Repeated Features AISTATS 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025 DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization ICLR 2025 Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents EMNLP 2025 Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport ICLR 2025 Solving hidden monotone variational inequalities with surrogate losses ICLR 2025 The Complexity of Two-Team Polymatrix Games with Independent Adversaries ICLR 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025 A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs NeurIPS 2024 An Information Theoretic Approach to Interaction-Grounded Learning ICML 2024 A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER ICLR 2024 Blurry Video Compression: A Trade-Off Between Visual Enhancement and Data Compression WACV 2024 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024 Efficient Inverse Multiagent Learning ICLR 2024 Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training CVPR 2024 Graph Adversarial Diffusion Convolution ICML 2024 Improving the Fairness of the Min-Max Game in GANs Training WACV 2024