Neur2BiLO: Neural Bilevel Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Dumouchelle, Justin, Julien, Esther, Kurtz, Jannis, Khalil, Elias B. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Learning for Two-Stage Robust Integer Optimization
by: Dumouchelle, Justin, et al.
Published: (2023)
by: Dumouchelle, Justin, et al.
Published: (2023)
BiLO: Bilevel Local Operator Learning for PDE Inverse Problems
by: Zhang, Ray Zirui, et al.
Published: (2024)
by: Zhang, Ray Zirui, et al.
Published: (2024)
Riemannian Bilevel Optimization
by: Dutta, Sanchayan, et al.
Published: (2024)
by: Dutta, Sanchayan, et al.
Published: (2024)
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto
by: Wasserkrug, Segev, et al.
Published: (2024)
by: Wasserkrug, Segev, et al.
Published: (2024)
On the Condition Number Dependency in Bilevel Optimization
by: Chen, Lesi, et al.
Published: (2025)
by: Chen, Lesi, et al.
Published: (2025)
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
by: Dickens, Charles, et al.
Published: (2024)
by: Dickens, Charles, et al.
Published: (2024)
Double Momentum Method for Lower-Level Constrained Bilevel Optimization
by: Shi, Wanli, et al.
Published: (2024)
by: Shi, Wanli, et al.
Published: (2024)
Bilevel Optimization over Saddle Points of Zero-Sum Markov Games
by: Zheng, Zihao, et al.
Published: (2026)
by: Zheng, Zihao, et al.
Published: (2026)
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
Coherent Local Explanations for Mathematical Optimization
by: Otto, Daan, et al.
Published: (2025)
by: Otto, Daan, et al.
Published: (2025)
Contextual Bilevel Reinforcement Learning for Incentive Alignment
by: Thoma, Vinzenz, et al.
Published: (2024)
by: Thoma, Vinzenz, et al.
Published: (2024)
Counterfactual Explanations for Linear Optimization
by: Kurtz, Jannis, et al.
Published: (2024)
by: Kurtz, Jannis, et al.
Published: (2024)
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months
by: Rezk, Fady, et al.
Published: (2023)
by: Rezk, Fady, et al.
Published: (2023)
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity
by: Yang, Yan, et al.
Published: (2024)
by: Yang, Yan, et al.
Published: (2024)
A Safe Screening Rule with Bi-level Optimization of $ν$ Support Vector Machine
by: Yang, Zhiji, et al.
Published: (2024)
by: Yang, Zhiji, et al.
Published: (2024)
Neural Solver Selection for Combinatorial Optimization
by: Gao, Chengrui, et al.
Published: (2024)
by: Gao, Chengrui, et al.
Published: (2024)
Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
by: Kiyani, Elham, et al.
Published: (2025)
by: Kiyani, Elham, et al.
Published: (2025)
Bayesian Optimization for Hyperparameters Tuning in Neural Networks
by: Onorato, Gabriele
Published: (2024)
by: Onorato, Gabriele
Published: (2024)
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
by: Smit, Igor G., et al.
Published: (2024)
by: Smit, Igor G., et al.
Published: (2024)
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
by: Pan, Rui, et al.
Published: (2024)
by: Pan, Rui, et al.
Published: (2024)
Unsupervised Training of Diffusion Models for Feasible Solution Generation in Neural Combinatorial Optimization
by: Hong, Seong-Hyun, et al.
Published: (2024)
by: Hong, Seong-Hyun, et al.
Published: (2024)
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
by: Cayci, Semih
Published: (2024)
by: Cayci, Semih
Published: (2024)
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks
by: Sanguin, Gabriele, et al.
Published: (2025)
by: Sanguin, Gabriele, et al.
Published: (2025)
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
by: Islam, MD Shafikul, et al.
Published: (2023)
by: Islam, MD Shafikul, et al.
Published: (2023)
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization
by: Wen, Min, et al.
Published: (2024)
by: Wen, Min, et al.
Published: (2024)
Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
by: Tang, Bo, et al.
Published: (2024)
by: Tang, Bo, et al.
Published: (2024)
ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
by: Fourati, Fares, et al.
Published: (2025)
by: Fourati, Fares, et al.
Published: (2025)
Linear Model Extraction via Factual and Counterfactual Queries
by: Otto, Daan, et al.
Published: (2026)
by: Otto, Daan, et al.
Published: (2026)
The Newton-Muon Optimizer
by: Du, Zhehang, et al.
Published: (2026)
by: Du, Zhehang, et al.
Published: (2026)
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
by: Sharifnassab, Arsalan, et al.
Published: (2024)
by: Sharifnassab, Arsalan, et al.
Published: (2024)
Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less
by: Liu, Yuxing, et al.
Published: (2026)
by: Liu, Yuxing, et al.
Published: (2026)
Bayesian Optimization of Bilevel Problems
by: Ekmekcioglu, Omer, et al.
Published: (2024)
by: Ekmekcioglu, Omer, et al.
Published: (2024)
Jacobian Descent for Multi-Objective Optimization
by: Quinton, Pierre, et al.
Published: (2024)
by: Quinton, Pierre, et al.
Published: (2024)
Optimization and Generalization Guarantees for Weight Normalization
by: Cisneros-Velarde, Pedro, et al.
Published: (2024)
by: Cisneros-Velarde, Pedro, et al.
Published: (2024)
Dynamic Memory Based Adaptive Optimization
by: Szegedy, Balázs, et al.
Published: (2024)
by: Szegedy, Balázs, et al.
Published: (2024)
Budget-aware Auto Optimizer Configurator
by: Liu, Kang, et al.
Published: (2026)
by: Liu, Kang, et al.
Published: (2026)
Client-Centric Federated Adaptive Optimization
by: Sun, Jianhui, et al.
Published: (2025)
by: Sun, Jianhui, et al.
Published: (2025)
Training Safe Neural Networks with Global SDP Bounds
by: Soletskyi, Roman, et al.
Published: (2024)
by: Soletskyi, Roman, et al.
Published: (2024)
Applications of 0-1 Neural Networks in Prescription and Prediction
by: Patil, Vrishabh, et al.
Published: (2024)
by: Patil, Vrishabh, et al.
Published: (2024)
Effective Frontiers: A Unification of Neural Scaling Laws
by: Zou, Jiaxuan, et al.
Published: (2026)
by: Zou, Jiaxuan, et al.
Published: (2026)
Similar Items
-
Deep Learning for Two-Stage Robust Integer Optimization
by: Dumouchelle, Justin, et al.
Published: (2023) -
BiLO: Bilevel Local Operator Learning for PDE Inverse Problems
by: Zhang, Ray Zirui, et al.
Published: (2024) -
Riemannian Bilevel Optimization
by: Dutta, Sanchayan, et al.
Published: (2024) -
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto
by: Wasserkrug, Segev, et al.
Published: (2024) -
On the Condition Number Dependency in Bilevel Optimization
by: Chen, Lesi, et al.
Published: (2025)