Imagen de Portada

Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Luxenberg, Eric, Malik, Dhruv, Li, Yuanzhi, Singh, Aarti, Boyd, Stephen
Formato:	Preprint
Publicado:	2023
Materias:	Optimization and Control Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Exponentially Weighted Moving Models
por: Luxenberg, Eric, et al.
Publicado: (2024)

Robust Bond Portfolio Construction via Convex-Concave Saddle Point Optimization
por: Luxenberg, Eric, et al.
Publicado: (2022)

Disciplined Saddle Programming
por: Schiele, Philipp, et al.
Publicado: (2023)

Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk Minimization
por: Xiong, Zikai, et al.
Publicado: (2022)

An Operator Splitting Method for Large-Scale CVaR-Constrained Quadratic Programs
por: Luxenberg, Eric, et al.
Publicado: (2025)

Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
por: Luxenberg, Eric, et al.
Publicado: (2022)

Exact Instance Compression for Convex Empirical Risk Minimization via Color Refinement
por: Zhu, Bryan, et al.
Publicado: (2026)

Solving Parameter-Robust Avoid Problems with Unknown Feasibility using Reinforcement Learning
por: So, Oswin, et al.
Publicado: (2026)

Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds
por: Cai, Xufeng, et al.
Publicado: (2023)

A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
por: Dagréou, Mathieu, et al.
Publicado: (2023)

Muon Converges under Heavy-Tailed Noise: Nonconvex Hölder-Smooth Empirical Risk Minimization
por: Iiduka, Hideaki
Publicado: (2026)

Solving Large Multicommodity Network Flow Problems on GPUs
por: Zhang, Fangzhao, et al.
Publicado: (2025)

Solving the Paint Shop Problem with Flexible Management of Multi-Lane Buffers Using Reinforcement Learning and Action Masking
por: Stappert, Mirko, et al.
Publicado: (2025)

Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices
por: Parshakova, Tetiana, et al.
Publicado: (2023)

$k$-Submodular Interdiction Problems under Distributional Risk-Receptiveness and Robustness: Application to Machine Learning
por: Park, Seonghun, et al.
Publicado: (2024)

Learning to Solve Optimization Problems Constrained with Partial Differential Equations
por: Guven, Yusuf, et al.
Publicado: (2025)

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems
por: Zhang, Huaqing, et al.
Publicado: (2024)

Learning to Solve Constrained Bilevel Control Co-Design Problems
por: Kotary, James, et al.
Publicado: (2025)

Optimality-Informed Neural Networks for Solving Parametric Optimization Problems
por: Hoffmann, Matthias K., et al.
Publicado: (2025)

SOREL: A Stochastic Algorithm for Spectral Risks Minimization
por: Ge, Yuze, et al.
Publicado: (2024)

Tiny Recursive Models for Solving the J2-Perturbed Lambert Problem
por: Wijayatunga, Minduli, et al.
Publicado: (2026)

Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem
por: Schoepf, Stefan, et al.
Publicado: (2023)

A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions
por: Ata, Barış, et al.
Publicado: (2025)

Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-Risk
por: Ni, Xinyi, et al.
Publicado: (2024)

On Learning for Ambiguous Chance Constrained Problems
por: Madhusudanarao, A Ch, et al.
Publicado: (2023)

Simple Alternating Minimization Provably Solves Complete Dictionary Learning
por: Liang, Geyu, et al.
Publicado: (2022)

A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
por: Curtis, Frank E., et al.
Publicado: (2023)

Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
por: Son, Jiwoo, et al.
Publicado: (2023)

Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization
por: Huang, Yu, et al.
Publicado: (2025)

Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
por: Zhang, Runyu, et al.
Publicado: (2023)

Solving Convex-Concave Problems with $\tilde{\mathcal{O}}(ε^{-4/7})$ Second-Order Oracle Complexity
por: Chen, Lesi, et al.
Publicado: (2025)

Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
por: Laus, Hannah, et al.
Publicado: (2025)

Solving Boltzmann Optimization Problems with Deep Learning
por: Knoll, Fiona, et al.
Publicado: (2024)

On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
por: de Oliveira, Arthur Castello Branco, et al.
Publicado: (2025)

Online Learning for Approximately-Convex Functions with Long-term Adversarial Constraints
por: Sarkar, Dhruv, et al.
Publicado: (2025)

Solving 0-1 Integer Programs with Unknown Knapsack Constraints Using Membership Oracles
por: Messana, Rosario, et al.
Publicado: (2024)

Sharpness-Aware Minimization Can Hallucinate Minimizers
por: Park, Chanwoong, et al.
Publicado: (2025)

Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity
por: Alacaoglu, Ahmet, et al.
Publicado: (2024)

Optimal Rates for Robust Stochastic Convex Optimization
por: Gao, Changyu, et al.
Publicado: (2024)

Solving Sparse \& High-Dimensional-Output Regression via Compression
por: Li, Renyuan, et al.
Publicado: (2024)