Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares
Fuente:
arXiv
Saved in:
| Main Author: | Chung, William |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Dorfman Group Testing for Symmetric Distributions
by: Landolfi, Nicholas C., et al.
Published: (2023)
by: Landolfi, Nicholas C., et al.
Published: (2023)
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease
by: Pan, Haonan, et al.
Published: (2025)
by: Pan, Haonan, et al.
Published: (2025)
On robust recovery of signals from indirect observations
by: Bekri, Yannis, et al.
Published: (2025)
by: Bekri, Yannis, et al.
Published: (2025)
Corrected Correlation Estimates for Meta-Analysis
by: Johnson-Vázquez, Alexander, et al.
Published: (2024)
by: Johnson-Vázquez, Alexander, et al.
Published: (2024)
Efficient Data-Driven Leverage Score Sampling Algorithm for the Minimum Volume Covering Ellipsoid Problem in Big Data
by: Harris, Elizabeth, et al.
Published: (2024)
by: Harris, Elizabeth, et al.
Published: (2024)
Optimal Transport Based Testing in Factorial Design
by: Groppe, Michel, et al.
Published: (2025)
by: Groppe, Michel, et al.
Published: (2025)
Low Rank Convex Clustering For Matrix-Valued Observations
by: Lin, Meixia, et al.
Published: (2024)
by: Lin, Meixia, et al.
Published: (2024)
Break recovery in graphical networks with D-trace loss
by: Lin, Ying, et al.
Published: (2024)
by: Lin, Ying, et al.
Published: (2024)
Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula
by: Dey, Debangan, et al.
Published: (2022)
by: Dey, Debangan, et al.
Published: (2022)
Inference for max-linear Bayesian networks with noise
by: Adams, Mark, et al.
Published: (2025)
by: Adams, Mark, et al.
Published: (2025)
Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand
by: Gundem, Korel, et al.
Published: (2025)
by: Gundem, Korel, et al.
Published: (2025)
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
by: McRae, Andrew D.
Published: (2024)
by: McRae, Andrew D.
Published: (2024)
Don't Look Back in Anger: Wasserstein Distributionally Robust Optimization with Nonstationary Data
by: Keehan, Dominic S. T., et al.
Published: (2025)
by: Keehan, Dominic S. T., et al.
Published: (2025)
Cover It Up! Bipartite Graphs Uncover Identifiability in Sparse Factor Analysis
by: Hosszejni, Darjus, et al.
Published: (2022)
by: Hosszejni, Darjus, et al.
Published: (2022)
Similarity-based fuzzy clustering scientific articles: potentials and challenges from mathematical and computational perspectives
by: Huong, Vu Thi, et al.
Published: (2025)
by: Huong, Vu Thi, et al.
Published: (2025)
Alternating Minimization for Regression with Tropical Rational Functions
by: Dunbar, Alex, et al.
Published: (2023)
by: Dunbar, Alex, et al.
Published: (2023)
Removal of Redundant Candidate Points for the Exact D-Optimal Design Problem
by: Harman, Radoslav, et al.
Published: (2025)
by: Harman, Radoslav, et al.
Published: (2025)
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements
by: Wang, Jialu, et al.
Published: (2024)
by: Wang, Jialu, et al.
Published: (2024)
Boscia.jl: A review and tutorial
by: Xiao, Wenjie, et al.
Published: (2025)
by: Xiao, Wenjie, et al.
Published: (2025)
Optimal designs for discrete choice models via graph Laplacians
by: Röttger, Frank, et al.
Published: (2022)
by: Röttger, Frank, et al.
Published: (2022)
Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on finite spaces: A statistical perspective
by: Hundrieser, Shayan, et al.
Published: (2022)
by: Hundrieser, Shayan, et al.
Published: (2022)
Stochastic comparison of series and parallel systems lifetime in Archimedean copula under random shock
by: Islam, Sarikul, et al.
Published: (2024)
by: Islam, Sarikul, et al.
Published: (2024)
Sinkhorn algorithms for entropic vector quantile regression
by: Kato, Kengo, et al.
Published: (2026)
by: Kato, Kengo, et al.
Published: (2026)
Bayesian Multi-Topology Express Transportation Network Design under Posterior Predictive Demand, Sorting-Efficiency and Delivery-Time Uncertainty
by: Chatterjee, Debashis
Published: (2026)
by: Chatterjee, Debashis
Published: (2026)
Developing heuristic solution techniques for large-scale unit commitment models
by: Kempke, Nils-Christian, et al.
Published: (2025)
by: Kempke, Nils-Christian, et al.
Published: (2025)
Exponential convergence rates for momentum stochastic gradient descent in the overparametrized setting
by: Gess, Benjamin, et al.
Published: (2023)
by: Gess, Benjamin, et al.
Published: (2023)
Permanent and transitory crime risk in variable-density hot spot analysis
by: Moews, Ben
Published: (2025)
by: Moews, Ben
Published: (2025)
Identifiability and Exact Reconstruction of the Optimal Transport Cost on Finite Spaces
by: González-Sanz, Alberto, et al.
Published: (2024)
by: González-Sanz, Alberto, et al.
Published: (2024)
Solving Min-Cost Concave Generalized Dynamic Flows and Approximating Dynamic Optimal Power Flows
by: Rothschild, Jacob H.
Published: (2024)
by: Rothschild, Jacob H.
Published: (2024)
Continuity of Filters for Discrete-Time Control Problems Defined by Explicit Equations
by: Feinberg, Eugene A., et al.
Published: (2023)
by: Feinberg, Eugene A., et al.
Published: (2023)
Generalized Scaling for the Constrained Maximum-Entropy Sampling Problem
by: Chen, Zhongzhu, et al.
Published: (2023)
by: Chen, Zhongzhu, et al.
Published: (2023)
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms
by: Guilmeau, Thomas, et al.
Published: (2022)
by: Guilmeau, Thomas, et al.
Published: (2022)
Nonparametric geostatistical risk mapping
by: Fernández-casal, Rubén, et al.
Published: (2024)
by: Fernández-casal, Rubén, et al.
Published: (2024)
Nonparametric conditional risk mapping under heteroscedasticity
by: Fernández-Casal, Rubén, et al.
Published: (2024)
by: Fernández-Casal, Rubén, et al.
Published: (2024)
Generative Modelling via Quantile Regression
by: Schmidt-Hieber, Johannes, et al.
Published: (2024)
by: Schmidt-Hieber, Johannes, et al.
Published: (2024)
From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
by: Ahmadi, Farzin, et al.
Published: (2026)
by: Ahmadi, Farzin, et al.
Published: (2026)
Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?
by: Ramlan, Fitria Wulandari, et al.
Published: (2025)
by: Ramlan, Fitria Wulandari, et al.
Published: (2025)
Concave Certificates: Geometric Framework for Distributionally Robust Risk and Complexity Analysis
by: Chu, Hong T. M.
Published: (2026)
by: Chu, Hong T. M.
Published: (2026)
Forecasting the U.S. Treasury Yield Curve: A Distributionally Robust Machine Learning Approach
by: Liu, Jinjun, et al.
Published: (2026)
by: Liu, Jinjun, et al.
Published: (2026)
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
by: Troxell, David, et al.
Published: (2026)
by: Troxell, David, et al.
Published: (2026)
Similar Items
-
Optimal Dorfman Group Testing for Symmetric Distributions
by: Landolfi, Nicholas C., et al.
Published: (2023) -
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease
by: Pan, Haonan, et al.
Published: (2025) -
On robust recovery of signals from indirect observations
by: Bekri, Yannis, et al.
Published: (2025) -
Corrected Correlation Estimates for Meta-Analysis
by: Johnson-Vázquez, Alexander, et al.
Published: (2024) -
Efficient Data-Driven Leverage Score Sampling Algorithm for the Minimum Volume Covering Ellipsoid Problem in Big Data
by: Harris, Elizabeth, et al.
Published: (2024)