lipschitz continuity

Bridging the Theoretical Gap in Randomized Smoothing AISTATS 2025 How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees ICML 2025 Tight and Fast Bounds for Multi-Label Learning ICML 2025 Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025 Achieving Domain-Independent Certified Robustness via Knowledge Continuity NeurIPS 2024 CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning ICLR 2024 Compressing Latent Space via Least Volume ICLR 2024 Generalization Analysis for Multi-Label Learning ICML 2024 Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024 Model-based Reinforcement Learning for Parameterized Action Spaces ICML 2024 On the Distance from Calibration in Sequential Prediction COLT 2024 Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures AISTATS 2024 Stochastic Weakly Convex Optimization beyond Lipschitz Continuity ICML 2024 A graphon-signal analysis of graph neural networks NeurIPS 2023 Beyond the Golden Ratio for Variational Inequality Algorithms JMLR 2023 Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023 Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023 Efficient displacement convex optimization with particle gradient descent ICML 2023 Generalization bounds for neural ordinary differential equations and deep residual networks NeurIPS 2023 Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function ICLR 2023 Learning Globally Smooth Functions on Manifolds ICML 2023 LipsFormer: Introducing Lipschitz Continuity to Vision Transformers ICLR 2023 Manifold-Preserving Transformers are Effective for Short-Long Range Encoding EMNLP 2023 Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs ICLR 2023 Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NeurIPS 2023