Saved in:
| Main Authors: | Bramao, Gustavo, Tarygin, Ilia |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.14844 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentiation Through Black-Box Quadratic Programming Solvers
by: Magoon, Connor W., et al.
Published: (2024)
by: Magoon, Connor W., et al.
Published: (2024)
ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
by: Huang, Weimin, et al.
Published: (2026)
by: Huang, Weimin, et al.
Published: (2026)
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
by: Chen, Ziang, et al.
Published: (2024)
by: Chen, Ziang, et al.
Published: (2024)
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling
by: Yang, Linxin, et al.
Published: (2024)
by: Yang, Linxin, et al.
Published: (2024)
A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
by: Linghu, Yuxuan, et al.
Published: (2026)
by: Linghu, Yuxuan, et al.
Published: (2026)
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
by: Na, Sen, et al.
Published: (2022)
by: Na, Sen, et al.
Published: (2022)
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
by: Ao, Ruicheng, et al.
Published: (2025)
by: Ao, Ruicheng, et al.
Published: (2025)
Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning
by: Fan, Yingying, et al.
Published: (2026)
by: Fan, Yingying, et al.
Published: (2026)
Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret
by: Ye, Lintao, et al.
Published: (2022)
by: Ye, Lintao, et al.
Published: (2022)
A Neural Network Framework for Discovering Closed-form Solutions to Quadratic Programs with Linear Constraints
by: Beylunioglu, Fuat Can, et al.
Published: (2025)
by: Beylunioglu, Fuat Can, et al.
Published: (2025)
Deep Distributed Optimization for Large-Scale Quadratic Programming
by: Saravanos, Augustinos D., et al.
Published: (2024)
by: Saravanos, Augustinos D., et al.
Published: (2024)
Fast Policy Learning for Linear Quadratic Control with Entropy Regularization
by: Guo, Xin, et al.
Published: (2023)
by: Guo, Xin, et al.
Published: (2023)
Inertial Quadratic Majorization Minimization with Application to Kernel Regularized Learning
by: Heng, Qiang, et al.
Published: (2025)
by: Heng, Qiang, et al.
Published: (2025)
Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems
by: Ziemann, Ingvar, et al.
Published: (2022)
by: Ziemann, Ingvar, et al.
Published: (2022)
Deep Generative Demand Learning for Newsvendor and Pricing
by: Gong, Shijin, et al.
Published: (2024)
by: Gong, Shijin, et al.
Published: (2024)
A Sequential Quadratic Programming Method with High Probability Complexity Bounds for Nonlinear Equality Constrained Stochastic Optimization
by: Berahas, Albert S., et al.
Published: (2023)
by: Berahas, Albert S., et al.
Published: (2023)
Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2024)
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2024)
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
by: Fang, Yuchen, et al.
Published: (2022)
by: Fang, Yuchen, et al.
Published: (2022)
Expressivity of Quadratic Neural ODEs
by: Hanson, Joshua, et al.
Published: (2025)
by: Hanson, Joshua, et al.
Published: (2025)
A Primal-Dual Online Learning Approach for Dynamic Pricing of Sequentially Displayed Complementary Items under Sale Constraints
by: Stradi, Francesco Emanuele, et al.
Published: (2024)
by: Stradi, Francesco Emanuele, et al.
Published: (2024)
Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited Channels
by: Ye, Lintao, et al.
Published: (2024)
by: Ye, Lintao, et al.
Published: (2024)
Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part I
by: Tian, Yi, et al.
Published: (2022)
by: Tian, Yi, et al.
Published: (2022)
Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part II
by: Tian, Yi, et al.
Published: (2026)
by: Tian, Yi, et al.
Published: (2026)
Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application
by: Li, Lucky
Published: (2024)
by: Li, Lucky
Published: (2024)
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
by: Carmona, René, et al.
Published: (2019)
by: Carmona, René, et al.
Published: (2019)
Learning to Price Bundles: A GCN Approach for Mixed Bundling
by: Ding, Liangyu, et al.
Published: (2025)
by: Ding, Liangyu, et al.
Published: (2025)
Insights on Muon from Simple Quadratics
by: Gonon, Antoine, et al.
Published: (2026)
by: Gonon, Antoine, et al.
Published: (2026)
Rate-Optimal Regret for the Safe Learning-based Control of the Constrained Linear Quadratic Regulator
by: Hutchinson, Spencer, et al.
Published: (2026)
by: Hutchinson, Spencer, et al.
Published: (2026)
Online Inference of Constrained Optimization: Primal-Dual Optimality and Sequential Quadratic Programming
by: Gao, Yihang, et al.
Published: (2025)
by: Gao, Yihang, et al.
Published: (2025)
Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems
by: Iwata, Tomoharu, et al.
Published: (2025)
by: Iwata, Tomoharu, et al.
Published: (2025)
A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method
by: Fang, Yuchen, et al.
Published: (2026)
by: Fang, Yuchen, et al.
Published: (2026)
Tight Rates for Bandit Control Beyond Quadratics
by: Sun, Y. Jennifer, et al.
Published: (2024)
by: Sun, Y. Jennifer, et al.
Published: (2024)
On the Effectiveness of the z-Transform Method in Quadratic Optimization
by: Bach, Francis
Published: (2025)
by: Bach, Francis
Published: (2025)
Accelerated Optimization Landscape of Linear-Quadratic Regulator
by: Feng, Lechen, et al.
Published: (2023)
by: Feng, Lechen, et al.
Published: (2023)
Learning to Configure Mathematical Programming Solvers by Mathematical Programming
by: Iommazzo, Gabriele, et al.
Published: (2024)
by: Iommazzo, Gabriele, et al.
Published: (2024)
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR
by: Toso, Leonardo F., et al.
Published: (2024)
by: Toso, Leonardo F., et al.
Published: (2024)
On Building Myopic MPC Policies using Supervised Learning
by: Orrico, Christopher A., et al.
Published: (2024)
by: Orrico, Christopher A., et al.
Published: (2024)
The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization
by: Zhang, Haihan, et al.
Published: (2024)
by: Zhang, Haihan, et al.
Published: (2024)
Quadratic Objective Perturbation: Curvature-Based Differential Privacy
by: Cortild, Daniel, et al.
Published: (2026)
by: Cortild, Daniel, et al.
Published: (2026)
Quadratic models for understanding catapult dynamics of neural networks
by: Zhu, Libin, et al.
Published: (2022)
by: Zhu, Libin, et al.
Published: (2022)
Similar Items
-
Differentiation Through Black-Box Quadratic Programming Solvers
by: Magoon, Connor W., et al.
Published: (2024) -
ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
by: Huang, Weimin, et al.
Published: (2026) -
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
by: Chen, Ziang, et al.
Published: (2024) -
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling
by: Yang, Linxin, et al.
Published: (2024) -
A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
by: Linghu, Yuxuan, et al.
Published: (2026)