lipschitz continuity

Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint JMLR 2023 Stability Guarantees for Feature Attributions with Multiplicative Smoothing NeurIPS 2023 Vacant holes for unsupervised detection of the outliers in compact latent representation UAI 2023 Diffeomorphic Image Registration Using Lipschitz Continuous Residual Networks MIDL 2022 Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity AISTATS 2022 Spectral risk-based learning using unbounded losses AISTATS 2022 Training Lipschitz Continuous Operators Using Reproducing Kernels L4DC 2022 Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization L4DC 2021 Compressive Visual Representations NeurIPS 2021 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021 Lipschitz Continuity Guided Knowledge Distillation ICCV 2021 Lipschitz Lifelong Reinforcement Learning AAAI 2021 Lipschitz normalization for self-attention layers with application to graph neural networks ICML 2021 Controllable Orthogonalization in Training DNNs CVPR 2020 Lipschitz Continuous Autoencoders in Application to Anomaly Detection AISTATS 2020 Off-Policy Interval Estimation with Lipschitz Value Iteration NeurIPS 2020 On the Power of Compressed Sensing with Generative Models ICML 2020 Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses NeurIPS 2020 Smoothed Geometry for Robust Attribution NeurIPS 2020 Artificial Constraints and Hints for Unbounded Online Learning COLT 2019 Plug-and-Play Methods Provably Converge with Properly Trained Denoisers ICML 2019 BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning CVPR 2018 Certified Computation from Unreliable Datasets COLT 2018 Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds NeurIPS 2018 Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect ICLR 2018