lp norm

Manipulation-Robust Selection of Citizens’ Assemblies AAAI 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024 Sharper Bounds for ℓ_p Sensitivity Sampling ICML 2023 A general approximation lower bound in L^p norm, with applications to feed-forward neural networks NeurIPS 2022 Provable Adversarial Robustness for Fractional Lp Threat Models AISTATS 2022 A principled approach for generating adversarial images under non-smooth dissimilarity metrics AISTATS 2020 On Adaptive Distance Estimation NeurIPS 2020 On Lp-norm Robustness of Ensemble Decision Stumps and Trees ICML 2020 Provable robustness against all adversarial l_p-perturbations for p≥ 1 ICLR 2020 Fast, Provable Algorithms for Isotonic Regression in all L_p-norms NeurIPS 2015 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions NeurIPS 2009 The Distribution Family of Similarity Distances NeurIPS 2007