Image de couverture de livre

A Fully First-Order Layer for Differentiable Optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Zihao, Mo, Kai-Chia, Ho, Shing-Hei, Amos, Brandon, Wang, Kai
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Bridging Constraints and Stochasticity: A Fully First-Order Method for Stochastic Bilevel Optimization with Linear Constraints
par: Phan, Cac, et autres
Publié: (2025)

Fully First-Order Algorithms for Online Bilevel Optimization
par: Jia, Tingkai, et autres
Publié: (2026)

First-Order Methods for Linearly Constrained Bilevel Optimization
par: Kornowski, Guy, et autres
Publié: (2024)

Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization
par: Li, Chris Junchi
Publié: (2024)

Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
par: Zhao, Zihao, et autres
Publié: (2025)

On amortizing convex conjugates for optimal transport
par: Amos, Brandon
Publié: (2022)

LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes
par: Ho, Shing-Hei, et autres
Publié: (2024)

Tutorial on amortized optimization
par: Amos, Brandon
Publié: (2022)

Fully First-Order Methods for Decentralized Bilevel Optimization
par: Wang, Xiaoyu, et autres
Publié: (2024)

Neural Variable-Order Fractional Differential Equation Networks
par: Cui, Wenjun, et autres
Publié: (2025)

Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
par: Kang, Qiyu, et autres
Publié: (2025)

DFWLayer: Differentiable Frank-Wolfe Optimization Layer
par: Liu, Zixuan, et autres
Publié: (2023)

Untangling Lariats: Subgradient Following of Variationally Penalized Objectives
par: Mo, Kai-Chia, et autres
Publié: (2024)

Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery
par: Karimi, Zohre, et autres
Publié: (2024)

SAMUeL: Efficient Vocal-Conditioned Music Generation via Soft Alignment Attention and Latent Diffusion
par: Cheung, Hei Shing, et autres
Publié: (2025)

PIVONet: A Physically-Informed Variational Neuro ODE Model for Efficient Advection-Diffusion Fluid Simulation
par: Cheung, Hei Shing, et autres
Publié: (2026)

DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects
par: Thach, Bao, et autres
Publié: (2023)

FOSI: Hybrid First and Second Order Optimization
par: Sivan, Hadar, et autres
Publié: (2023)

BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards
par: Lee, Sangyun, et autres
Publié: (2025)

Second-Order Forward-Mode Automatic Differentiation for Optimization
par: Cobb, Adam D., et autres
Publié: (2024)

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization
par: Chu, Xu, et autres
Publié: (2026)

Scene-Adaptive Continual Learning for CSI-based Human Activity Recognition with Mixture of Experts
par: Zheng, Wenhan, et autres
Publié: (2026)

POP: Prior-Fitted First-Order Optimization Policies
par: Kobiolka, Jan, et autres
Publié: (2026)

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
par: Wang, Fei, et autres
Publié: (2026)

Finding Differentially Private Second Order Stationary Points in Stochastic Minimax Optimization
par: Xu, Difei, et autres
Publié: (2026)

A Study of Condition Numbers for First-Order Optimization
par: Guille-Escuret, Charles, et autres
Publié: (2020)

Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States
par: Chien, Eli, et autres
Publié: (2025)

SNLP: Layer-Parallel Inference via Structured Newton Corrections
par: Han, Ligong, et autres
Publié: (2026)

Differentiated Information Mining: A Semi-supervised Learning Framework for GNNs
par: Wang, Long, et autres
Publié: (2025)

FedAPA: Federated Learning with Adaptive Prototype Aggregation Toward Heterogeneous Wi-Fi CSI-based Crowd Counting
par: Guo, Jingtao, et autres
Publié: (2025)

On the Complexity of First-Order Methods in Stochastic Bilevel Optimization
par: Kwon, Jeongyeol, et autres
Publié: (2024)

Position: Weight Space Should Be a First-Class Generative AI Modality
par: Wang, Zhangyang, et autres
Publié: (2026)

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
par: Ye, Feiyang, et autres
Publié: (2024)

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
par: Wang, Ziteng, et autres
Publié: (2024)

Distributed-Order Fractional Graph Operating Network
par: Zhao, Kai, et autres
Publié: (2024)

CSI-Based Efficient Self-Quarantine Monitoring System Using Branchy Convolution Neural Network
par: Guo, Jingtao, et autres
Publié: (2023)

Efficient Offline Reinforcement Learning: First Imitate, then Improve
par: Jelley, Adam, et autres
Publié: (2024)

Wasserstein Flow Matching: Generative modeling over families of distributions
par: Haviv, Doron, et autres
Publié: (2024)

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
par: Paulus, Anselm, et autres
Publié: (2021)

Initialization Matters: On the Benign Overfitting of Two-Layer ReLU CNN with Fully Trainable Layers
par: Shang, Shuning, et autres
Publié: (2024)