:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Zihao, Mo, Kai-Chia, Ho, Shing-Hei, Amos, Brandon, Wang, Kai
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.02494
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bridging Constraints and Stochasticity: A Fully First-Order Method for Stochastic Bilevel Optimization with Linear Constraints
by: Phan, Cac, et al.
Published: (2025)

Fully First-Order Algorithms for Online Bilevel Optimization
by: Jia, Tingkai, et al.
Published: (2026)

First-Order Methods for Linearly Constrained Bilevel Optimization
by: Kornowski, Guy, et al.
Published: (2024)

LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes
by: Ho, Shing-Hei, et al.
Published: (2024)

On amortizing convex conjugates for optimal transport
by: Amos, Brandon
Published: (2022)

Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
by: Zhao, Zihao, et al.
Published: (2025)

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

Tutorial on amortized optimization
by: Amos, Brandon
Published: (2022)

Fully First-Order Methods for Decentralized Bilevel Optimization
by: Wang, Xiaoyu, et al.
Published: (2024)

Untangling Lariats: Subgradient Following of Variationally Penalized Objectives
by: Mo, Kai-Chia, et al.
Published: (2024)

Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery
by: Karimi, Zohre, et al.
Published: (2024)

Neural Variable-Order Fractional Differential Equation Networks
by: Cui, Wenjun, et al.
Published: (2025)

PIVONet: A Physically-Informed Variational Neuro ODE Model for Efficient Advection-Diffusion Fluid Simulation
by: Cheung, Hei Shing, et al.
Published: (2026)

Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
by: Kang, Qiyu, et al.
Published: (2025)

DFWLayer: Differentiable Frank-Wolfe Optimization Layer
by: Liu, Zixuan, et al.
Published: (2023)

DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects
by: Thach, Bao, et al.
Published: (2023)

SAMUeL: Efficient Vocal-Conditioned Music Generation via Soft Alignment Attention and Latent Diffusion
by: Cheung, Hei Shing, et al.
Published: (2025)

BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards
by: Lee, Sangyun, et al.
Published: (2025)

Scene-Adaptive Continual Learning for CSI-based Human Activity Recognition with Mixture of Experts
by: Zheng, Wenhan, et al.
Published: (2026)

FOSI: Hybrid First and Second Order Optimization
by: Sivan, Hadar, et al.
Published: (2023)

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization
by: Chu, Xu, et al.
Published: (2026)

Second-Order Forward-Mode Automatic Differentiation for Optimization
by: Cobb, Adam D., et al.
Published: (2024)

CSI-Based Efficient Self-Quarantine Monitoring System Using Branchy Convolution Neural Network
by: Guo, Jingtao, et al.
Published: (2023)

FedAPA: Federated Learning with Adaptive Prototype Aggregation Toward Heterogeneous Wi-Fi CSI-based Crowd Counting
by: Guo, Jingtao, et al.
Published: (2025)

POP: Prior-Fitted First-Order Optimization Policies
by: Kobiolka, Jan, et al.
Published: (2026)

A Study of Condition Numbers for First-Order Optimization
by: Guille-Escuret, Charles, et al.
Published: (2020)

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
by: Wang, Fei, et al.
Published: (2026)

Differentiated Information Mining: A Semi-supervised Learning Framework for GNNs
by: Wang, Long, et al.
Published: (2025)

Finding Differentially Private Second Order Stationary Points in Stochastic Minimax Optimization
by: Xu, Difei, et al.
Published: (2026)

Wasserstein Flow Matching: Generative modeling over families of distributions
by: Haviv, Doron, et al.
Published: (2024)

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
by: Paulus, Anselm, et al.
Published: (2021)

Cross-Domain Imitation Learning via Optimal Transport
by: Fickinger, Arnaud, et al.
Published: (2021)

SNLP: Layer-Parallel Inference via Structured Newton Corrections
by: Han, Ligong, et al.
Published: (2026)

Position: Weight Space Should Be a First-Class Generative AI Modality
by: Wang, Zhangyang, et al.
Published: (2026)

Efficient Offline Reinforcement Learning: First Imitate, then Improve
by: Jelley, Adam, et al.
Published: (2024)

On the Complexity of First-Order Methods in Stochastic Bilevel Optimization
by: Kwon, Jeongyeol, et al.
Published: (2024)

Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States
by: Chien, Eli, et al.
Published: (2025)

Distributed-Order Fractional Graph Operating Network
by: Zhao, Kai, et al.
Published: (2024)

Neural Optimal Transport with Lagrangian Costs
by: Pooladian, Aram-Alexandre, et al.
Published: (2024)

Primitive Agentic First-Order Optimization
by: Sala, R.
Published: (2024)