Break recovery in graphical networks with D-trace loss
Fuente:
arXiv
Guardado en:
| Autores principales: | Lin, Ying, Poignard, Benjamin, Pong, Ting Kei, Takeda, Akiko |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Low Rank Convex Clustering For Matrix-Valued Observations
por: Lin, Meixia, et al.
Publicado: (2024)
por: Lin, Meixia, et al.
Publicado: (2024)
Bayesian Multi-Topology Express Transportation Network Design under Posterior Predictive Demand, Sorting-Efficiency and Delivery-Time Uncertainty
por: Chatterjee, Debashis
Publicado: (2026)
por: Chatterjee, Debashis
Publicado: (2026)
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
por: McRae, Andrew D.
Publicado: (2024)
por: McRae, Andrew D.
Publicado: (2024)
On robust recovery of signals from indirect observations
por: Bekri, Yannis, et al.
Publicado: (2025)
por: Bekri, Yannis, et al.
Publicado: (2025)
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms
por: Guilmeau, Thomas, et al.
Publicado: (2022)
por: Guilmeau, Thomas, et al.
Publicado: (2022)
Estimating the errors for solutions of the SAA method to solve compound and risk averse stochastic programs
por: Kratschmer, Volker
Publicado: (2021)
por: Kratschmer, Volker
Publicado: (2021)
The radius of statistical efficiency
por: Cutler, Joshua, et al.
Publicado: (2024)
por: Cutler, Joshua, et al.
Publicado: (2024)
Inference for max-linear Bayesian networks with noise
por: Adams, Mark, et al.
Publicado: (2025)
por: Adams, Mark, et al.
Publicado: (2025)
Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares
por: Chung, William
Publicado: (2025)
por: Chung, William
Publicado: (2025)
Marginal minimization and sup-norm expansions in perturbed optimization
por: Spokoiny, Vladimir
Publicado: (2025)
por: Spokoiny, Vladimir
Publicado: (2025)
Entropy-Guided Multiplicative Updates: KL Projections for Multi-Factor Target Exposures
por: Qiu, Yimeng
Publicado: (2025)
por: Qiu, Yimeng
Publicado: (2025)
Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
por: Takahashi, Shota, et al.
Publicado: (2025)
por: Takahashi, Shota, et al.
Publicado: (2025)
Kurdyka-Łojasiewicz exponent via Hadamard parametrization
por: Ouyang, Wenqing, et al.
Publicado: (2024)
por: Ouyang, Wenqing, et al.
Publicado: (2024)
Tight Semidefinite Relaxations for Verifying Robustness of Neural Networks
por: Azuma, Godai, et al.
Publicado: (2025)
por: Azuma, Godai, et al.
Publicado: (2025)
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements
por: Wang, Jialu, et al.
Publicado: (2024)
por: Wang, Jialu, et al.
Publicado: (2024)
Generalized Scaling for the Constrained Maximum-Entropy Sampling Problem
por: Chen, Zhongzhu, et al.
Publicado: (2023)
por: Chen, Zhongzhu, et al.
Publicado: (2023)
From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
por: Ahmadi, Farzin, et al.
Publicado: (2026)
por: Ahmadi, Farzin, et al.
Publicado: (2026)
Vanishing L2 regularization for the softmax Multi Armed Bandit
por: Anita, Stefana-Lucia, et al.
Publicado: (2026)
por: Anita, Stefana-Lucia, et al.
Publicado: (2026)
Efficient Data-Driven Leverage Score Sampling Algorithm for the Minimum Volume Covering Ellipsoid Problem in Big Data
por: Harris, Elizabeth, et al.
Publicado: (2024)
por: Harris, Elizabeth, et al.
Publicado: (2024)
Sharp bounds in perturbed smooth optimization
por: Spokoiny, Vladimir
Publicado: (2025)
por: Spokoiny, Vladimir
Publicado: (2025)
Asymptotic Consistency for Nonconvex Risk-Averse Stochastic Optimization with Infinite Dimensional Decision Spaces
por: Milz, Johannes, et al.
Publicado: (2022)
por: Milz, Johannes, et al.
Publicado: (2022)
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials
por: Niu, Yi-Shuai, et al.
Publicado: (2018)
por: Niu, Yi-Shuai, et al.
Publicado: (2018)
Robust Moment-Based Estimation via Spectral Gradient Reweighting
por: Zhang, Liu, et al.
Publicado: (2026)
por: Zhang, Liu, et al.
Publicado: (2026)
Removal of Redundant Candidate Points for the Exact D-Optimal Design Problem
por: Harman, Radoslav, et al.
Publicado: (2025)
por: Harman, Radoslav, et al.
Publicado: (2025)
A Regression-Based Prediction-Correction Method for Stochastic Time-Varying Optimization Problems
por: Kamijima, Tomoya, et al.
Publicado: (2025)
por: Kamijima, Tomoya, et al.
Publicado: (2025)
Quantifying the Value of Seismic Structural Health Monitoring for post-earthquake recovery of electric power system in terms of resilience enhancement
por: Liang, Huangbin, et al.
Publicado: (2025)
por: Liang, Huangbin, et al.
Publicado: (2025)
Entropic Risk-Averse Generalized Momentum Methods
por: Can, Bugra, et al.
Publicado: (2022)
por: Can, Bugra, et al.
Publicado: (2022)
Geometry of rational quasi-independence models as toric fiber products
por: Coons, Jane Ivy, et al.
Publicado: (2024)
por: Coons, Jane Ivy, et al.
Publicado: (2024)
Bayesian Linear Programming under Learned Uncertainty: Posterior Feasibility Guarantees, Scenario Certification, and Applications
por: Chatterjee, Debashis
Publicado: (2026)
por: Chatterjee, Debashis
Publicado: (2026)
Randomized Subspace Nesterov Accelerated Gradient
por: Omiya, Gaku, et al.
Publicado: (2026)
por: Omiya, Gaku, et al.
Publicado: (2026)
A Benson-Type Algorithm for Bounded Convex Vector Optimization Problems with Vertex Selection
por: Dörfler, Daniel, et al.
Publicado: (2020)
por: Dörfler, Daniel, et al.
Publicado: (2020)
On $O(n)$ Algorithms for Projection onto the Top-$k$-sum Sublevel Set
por: Roth, Jake, et al.
Publicado: (2023)
por: Roth, Jake, et al.
Publicado: (2023)
A symmetric primal-dual algorithmic framework for saddle point problems
por: He, Hongjin, et al.
Publicado: (2022)
por: He, Hongjin, et al.
Publicado: (2022)
An efficient proximal algorithm for squared L1 over L2 regularized sparse recovery
por: Zhang, Na, et al.
Publicado: (2025)
por: Zhang, Na, et al.
Publicado: (2025)
Polynomial-Time Algorithms for Computing the Nucleolus: An Assessment
por: Meinhardt, Holger I.
Publicado: (2025)
por: Meinhardt, Holger I.
Publicado: (2025)
Global optimality conditions for sensor placement, with extensions to binary low-rank A-optimal designs
por: Aarset, Christian
Publicado: (2024)
por: Aarset, Christian
Publicado: (2024)
Zeroth-order Random Subspace Algorithm for Non-smooth Convex Optimization
por: Nozawa, Ryota, et al.
Publicado: (2024)
por: Nozawa, Ryota, et al.
Publicado: (2024)
A Riemannian Accelerated Proximal Gradient Method
por: Feng, Shuailing, et al.
Publicado: (2025)
por: Feng, Shuailing, et al.
Publicado: (2025)
A feasible smoothing accelerated projected gradient method for nonsmooth convex optimization
por: Nishioka, Akatsuki, et al.
Publicado: (2023)
por: Nishioka, Akatsuki, et al.
Publicado: (2023)
Long-Step Path-Following Algorithm for Quantum Information Theory: Some Numerical Aspects and Applications
por: Faybusovich, Leonid, et al.
Publicado: (2019)
por: Faybusovich, Leonid, et al.
Publicado: (2019)
Ejemplares similares
-
Low Rank Convex Clustering For Matrix-Valued Observations
por: Lin, Meixia, et al.
Publicado: (2024) -
Bayesian Multi-Topology Express Transportation Network Design under Posterior Predictive Demand, Sorting-Efficiency and Delivery-Time Uncertainty
por: Chatterjee, Debashis
Publicado: (2026) -
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
por: McRae, Andrew D.
Publicado: (2024) -
On robust recovery of signals from indirect observations
por: Bekri, Yannis, et al.
Publicado: (2025) -
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms
por: Guilmeau, Thomas, et al.
Publicado: (2022)