lipschitz - Robuta Search

https://jmlr.org/papers/v25/22-1347.html Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions neural networks learning activation improving lipschitz constrained https://deepai.org/publication/generalised-lipschitz-regularisation-equals-distributional-robustness Generalised Lipschitz Regularisation Equals Distributional Robustness | DeepAI Feb 11, 2020 - 02/11/20 - The problem of adversarial examples has highlighted the need for a theory of regularisation that is general enough to apply to exo... generalised lipschitz regularisation equals distributional https://arxiv.org/abs/2304.00657 [2304.00657] Lipschitz regularity for solutions of a general class of elliptic equations Abstract page for arXiv paper 2304.00657: Lipschitz regularity for solutions of a general class of elliptic equations for solutions https://openreview.net/forum?id=1lqOZrdXeG Direct Parameterization of Lipschitz-Bounded Deep Networks | OpenReview This paper introduces a new parameterization of deep neural networks (both fully-connected and convolutional) with guaranteed $\ell^2$ Lipschitz bounds, i.e.... direct parameterization lipschitz bounded deep https://deepai.org/publication/robust-high-dimensional-learning-for-lipschitz-and-convex-losses Robust high dimensional learning for Lipschitz and convex losses | DeepAI May 10, 2019 - 05/10/19 - We establish risk bounds for Regularized Empirical Risk Minimizers (RERM) when the loss is Lipschitz and convex and the regulariza... high dimensional learning for robust lipschitz convex https://arxiv.org/abs/0912.0536 [0912.0536] Local Lipschitz regularity for degenerate elliptic systems Abstract page for arXiv paper 0912.0536: Local Lipschitz regularity for degenerate elliptic systems 0912 local lipschitz regularity degenerate https://arxiv.org/abs/2405.00249 [2405.00249] Bi-Lipschitz rigidity of discrete subgroups Abstract page for arXiv paper 2405.00249: Bi-Lipschitz rigidity of discrete subgroups bi lipschitz 2405 00249 rigidity discrete https://arxiv.org/abs/2203.12532 [2203.12532] Stability of convergence rates: Kernel interpolation on non-Lipschitz domains Abstract page for arXiv paper 2203.12532: Stability of convergence rates: Kernel interpolation on non-Lipschitz domains https://arxiv.org/abs/2510.19930 [2510.19930] Deflating hyperbolic surfaces and the shapes of optimal Lipschitz maps Abstract page for arXiv paper 2510.19930: Deflating hyperbolic surfaces and the shapes of optimal Lipschitz maps https://openreview.net/forum?id=aDWDlE5ZSU&referrer=%5Bthe%20profile%20of%20Jinhui%20Xu%5D(%2Fprofile%3Fid%3D~Jinhui_Xu1) Beyond ordinary Lipschitz constraints: Differentially Private optimization with TNC | OpenReview We study Stochastic Convex Optimization in Differential Privacy model (DP-SCO). Unlike previous studies, here we assume the population risk function satisfies... beyond ordinary lipschitz constraints private optimization https://arxiv.org/abs/2410.21053v1 [2410.21053v1] Computable Lipschitz Bounds for Deep Neural Networks Abstract page for arXiv paper 2410.21053v1: Computable Lipschitz Bounds for Deep Neural Networks 2410 computable lipschitz bounds deep https://www.scirp.org/journal/papercitationdetails?paperid=70894&JournalID=513 Locally Defined Operators and Locally Lipschitz Composition Operators in the Space... We give a neccesary and sufficient condition on a function such that the composition operator (Nemytskij Operator) H defined by acts in the space and satisfies... in the locally defined operators lipschitz https://arxiv.org/abs/2504.09457 [2504.09457] Lipschitz regularity of fractional $p$-Laplacian Abstract page for arXiv paper 2504.09457: Lipschitz regularity of fractional $p$-Laplacian 2504 09457 lipschitz regularity fractional https://arxiv.org/abs/2207.11017 [2207.11017] Rigidity of Lipschitz map using harmonic map heat flow Abstract page for arXiv paper 2207.11017: Rigidity of Lipschitz map using harmonic map heat flow lipschitz map 2207 11017 rigidity using https://www.kth.se/math/kalender/asma-hassannezhad-pleijel-nodal-domain-theorem-for-the-robin-problem-on-lipschitz-domains-1.1357328?date=2024-09-25&orgdate=2024-02-13&length=1&orglength=0 Asma Hassannezhad: Pleijel Nodal domain theorem for the Robin problem on Lipschitz domains | KTH https://www.econstor.eu/handle/10419/305786 EconStor: A Filippov approximation theorem for strengthened one-sided Lipschitz differential... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. one sided econstor filippov approximation theorem https://arxiv.org/abs/1202.1928 [1202.1928] Optimal uncertainty quantification for legacy data observations of Lipschitz functions Abstract page for arXiv paper 1202.1928: Optimal uncertainty quantification for legacy data observations of Lipschitz functions uncertainty quantification https://github.com/huanzhang12/CLEVER GitHub - huanzhang12/CLEVER: CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a... CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks - huanzhang12/CLEVER extreme value https://openreview.net/forum?id=ry2qgRqTOw Fast Kernel Methods for Generic Lipschitz Losses via $p$-Sparsified Sketches | OpenReview Kernel methods are learning algorithms that enjoy solid theoretical foundations while suffering from important computational limitations. Sketching, which... kernel methods https://www.nist.gov/publications/calibrating-image-roughness-estimating-lipschitz-exponents-applications-image-0 Calibrating Image Roughness by Estimating Lipschitz Exponents, with Applications to Image... Oct 12, 2021 - Most commonly occurring images f(x,y) are not smoothly differentiable functions of the variables x and y. calibrating image roughness estimating lipschitz https://jmlr.org/papers/v22/20-1235.html Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous... deep q learning https://openreview.net/forum?id=61XcDdGZclp Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value... Probabilistic dynamics model ensemble is widely used in existing model-based reinforcement learning methods as it outperforms a single dynamics model in both... https://openreview.net/forum?id=yrqn9rQO2YT Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates |... We characterize the sample complexity of certified Lipschitz optimization zeroth order instance dependent bounds https://deepai.org/publication/training-robust-neural-networks-using-lipschitz-bounds Training robust neural networks using Lipschitz bounds | DeepAI May 6, 2020 - 05/06/20 - Due to their susceptibility to adversarial perturbations, neural networks (NNs) are hardly used in safety-critical applications. O... neural networks training robust using lipschitz https://arxiv.org/abs/1703.08384 [1703.08384] Finitely additive measures and complementability of Lipschitz-free spaces Abstract page for arXiv paper 1703.08384: Finitely additive measures and complementability of Lipschitz-free spaces finitely additive 1703 08384 measures https://www.newyorklife.com/agent/blipschitz Financial Professional & Insurance Agent BEN "BENYAMIN" LIPSCHITZ serving NEW YORK, NEW YORK | New... financial professional insurance agent ben lipschitz serving https://openreview.net/forum?id=REEdaR0zqj Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz Lens |... Implicit Neural Representations (INRs) have shown great promise in solving inverse problems, but their lack of inherent regularization often leads to a... beyond uniformity implicit neural representations https://www.umassd.edu/cvpa/explore/senior-exhibition-online/artists/rivka-lipschitz.html 2020 Senior Exhibition Artists: Rivka Lipschitz | College of Visual & Performing Arts | UMass... Art + Design: Graphic Design visual performing arts exhibition artists https://arxiv.org/abs/1005.3440 [1005.3440] Lipschitz metric for the periodic Camassa-Holm equation Abstract page for arXiv paper 1005.3440: Lipschitz metric for the periodic Camassa-Holm equation for the 1005 3440 lipschitz metric https://lipschitz-inrs.github.io/ Beyond Uniformity: Regularizing INRs through a Lipschitz Lens Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz Lens beyond uniformity inrs lipschitz lens https://www.jmlr.org/papers/v26/24-1047.html Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound and a lexicographic lipschitz bandits new https://deepai.org/publication/differentially-private-synthetic-data-generation-via-lipschitz-regularised-variational-autoencoders Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders... Apr 22, 2023 - 04/22/23 - Synthetic data has been hailed as the silver bullet for privacy preserving data analysis. If a record is not real, then how could ... synthetic data generation private via lipschitz variational https://arxiv.org/abs/1202.2341 [1202.2341] Measure concentration through non-Lipschitz observables and functional inequalities Abstract page for arXiv paper 1202.2341: Measure concentration through non-Lipschitz observables and functional inequalities measure concentration 1202 2341 https://deepai.org/publication/lipschitz-bounded-1d-convolutional-neural-networks-using-the-cayley-transform-and-the-controllability-gramian Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the... Mar 20, 2023 - 03/20/23 - We establish a layer-wise parameterization for 1D convolutional neural networks (CNNs) with built-in end-to-end robustness guarant... convolutional neural networks cayley transform lipschitz bounded 1d https://arxiv.org/abs/1806.11240 [1806.11240] A characterization of Lipschitz normally embedded surface singularities Abstract page for arXiv paper 1806.11240: A characterization of Lipschitz normally embedded surface singularities 1806 11240 characterization lipschitz normally https://jmlr.org/papers/v21/19-585.html Robust high dimensional learning for Lipschitz and convex losses high dimensional learning for robust lipschitz convex https://arxiv.org/abs/2010.06652 [2010.06652] Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Abstract page for arXiv paper 2010.06652: Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures https://arxiv.org/abs/1211.7039 [1211.7039] Non-Lipschitz points and the SBV regularity of the minimum time function Abstract page for arXiv paper 1211.7039: Non-Lipschitz points and the SBV regularity of the minimum time function https://deepai.org/publication/lipschitz-constant-estimation-for-1d-convolutional-neural-networks Lipschitz constant estimation for 1D convolutional neural networks | DeepAI Nov 28, 2022 - 11/28/22 - In this work, we propose a dissipativity-based method for Lipschitz constant estimation of 1D convolutional neural networks (CNNs)... convolutional neural networks lipschitz constant estimation 1d deepai https://arxiv.org/abs/2304.12515v2 [2304.12515v2] Lipschitz homotopy convergence of Alexandrov spaces II Abstract page for arXiv paper 2304.12515v2: Lipschitz homotopy convergence of Alexandrov spaces II 2304 lipschitz homotopy convergence alexandrov https://openreview.net/forum?id=j3kztn6phO&referrer=%5Bthe%20profile%20of%20Dongmian%20Zou%5D(%2Fprofile%3Fid%3D~Dongmian_Zou1) Improving Robustness of Hyperbolic Neural Networks by Lipschitz Analysis | OpenReview Hyperbolic neural networks (HNNs) are emerging as a promising tool for representing data embedded in non-Euclidean geometries, yet their adoption has been... neural networks improving robustness hyperbolic lipschitz https://deepai.org/publication/online-optimization-of-piecewise-lipschitz-functions-in-changing-environments Online optimization of piecewise Lipschitz functions in changing environments | DeepAI Jul 22, 2019 - 07/22/19 - In an online optimization problem we are required to choose a sequence of points from a fixed feasible subset of R^d. After each p... online optimization lipschitz functions changing environments piecewise deepai https://arxiv.org/abs/2403.00620 [2403.00620] Properties of Lipschitz smoothing heat semigroups Abstract page for arXiv paper 2403.00620: Properties of Lipschitz smoothing heat semigroups 2403 00620 properties lipschitz smoothing https://openreview.net/forum?id=ammDisMt1K&referrer=%5Bthe%20profile%20of%20Nicholas%20H.%20Barbara%5D(%2Fprofile%3Fid%3D~Nicholas_H._Barbara1) On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks | OpenReview This paper presents a study of robust policy networks in deep reinforcement learning. We investigate the benefits of policy parameterizations that naturally... reinforcement learning policy networks robust lipschitz bounded https://openreview.net/forum?id=oJQWvsStNh Stable Fair Graph Representation Learning with Lipschitz Constraint | OpenReview Group fairness based on adversarial training has gained significant attention on graph data, which was implemented by masking sensitive attributes to generate... graph representation learning stable fair lipschitz constraint https://arxiv.org/abs/2311.00100 [2311.00100] Smooth approximation of Lipschitz domains, weak curvatures and isocapacitary estimates Abstract page for arXiv paper 2311.00100: Smooth approximation of Lipschitz domains, weak curvatures and isocapacitary estimates smooth approximation https://arxiv.org/html/2502.06067v3 Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association smooth sailing uncertainty quantification lipschitz driven spatial https://arxiv.org/abs/1711.03208 [1711.03208] A non-smooth trust-region method for locally Lipschitz functions with application to... Abstract page for arXiv paper 1711.03208: A non-smooth trust-region method for locally Lipschitz functions with application to optimization problems... https://openreview.net/forum?id=8F3Lutda7R Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models... Recently, deep equilibrium models (DEQs) have drawn increasing attention from the machine learning community. However, DEQs are much less understood in terms... exploiting connections lipschitz structures https://jmlr.org/papers/v26/24-1047.html Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound and a lexicographic lipschitz bandits new