Cover Image

DF2: Distribution-Free Decision-Focused Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kong, Lingkai, Mu, Wenhao, Cui, Jiaming, Zhuang, Yuchen, Prakash, B. Aditya, Dai, Bo, Zhang, Chao
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
by: Kong, Lingkai, et al.
Published: (2025)

Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
by: Kamarthi, Harshavardhan, et al.
Published: (2024)

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
by: Liu, Haoxin, et al.
Published: (2024)

Aligning Large Language Models with Representation Editing: A Control Perspective
by: Kong, Lingkai, et al.
Published: (2024)

Weakly Supervised Learning on Large Graphs
by: Prakash, Aditya
Published: (2025)

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
by: Zhu, Yuchen, et al.
Published: (2024)

Solver-Free Decision-Focused Learning for Linear Optimization Problems
by: Berden, Senne, et al.
Published: (2025)

Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
by: Li, Changhao, et al.
Published: (2024)

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
by: Sun, Haotian, et al.
Published: (2024)

Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
by: Kong, Lingkai, et al.
Published: (2025)

Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
by: Kong, Lingkai, et al.
Published: (2024)

MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline
by: Qiang, Rushi, et al.
Published: (2025)

LLM-Augmented Chemical Synthesis and Design Decision Programs
by: Wang, Haorui, et al.
Published: (2025)

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance
by: Wang, Haorui, et al.
Published: (2024)

Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
by: Verma, Shresth, et al.
Published: (2024)

MUBen: Benchmarking the Uncertainty of Molecular Representation Models
by: Li, Yinghao, et al.
Published: (2023)

Decision-Focused Model-based Reinforcement Learning for Reward Transfer
by: Sharma, Abhishek, et al.
Published: (2023)

Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
by: Mandi, Jayanta, et al.
Published: (2025)

Locally Convex Global Loss Network for Decision-Focused Learning
by: Jeon, Haeun, et al.
Published: (2024)

Scalable Decision Focused Learning via Online Trainable Surrogates
by: Signorelli, Gaetano, et al.
Published: (2025)

HYDRA: Model Factorization Framework for Black-Box LLM Personalization
by: Zhuang, Yuchen, et al.
Published: (2024)

A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
by: Liu, Haoxin, et al.
Published: (2024)

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
by: Silvestri, Mattia, et al.
Published: (2023)

Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights
by: Liu, Haoxin, et al.
Published: (2025)

Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization
by: Mandi, Jayanta, et al.
Published: (2025)

Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective
by: Wang, Haichuan, et al.
Published: (2026)

What is the Right Notion of Distance between Predict-then-Optimize Tasks?
by: Rodriguez-Diaz, Paula, et al.
Published: (2024)

Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint
by: Wang, Yifan, et al.
Published: (2024)

Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems
by: Carr, Jonathan Colaço, et al.
Published: (2026)

Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning
by: Shah, Sanket, et al.
Published: (2024)

Safeguarding Autonomy: a Focus on Machine Learning Decision Systems
by: Subías-Beltrán, Paula, et al.
Published: (2025)

Efficient Evolutionary Search Over Chemical Space with Large Language Models
by: Wang, Haorui, et al.
Published: (2024)

LLM Advertisement based on Neuron Auctions
by: Yun, Peiran, et al.
Published: (2026)

Performative Time-Series Forecasting
by: Zhao, Zhiyuan, et al.
Published: (2023)

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
by: Zhang, Rongzhi, et al.
Published: (2025)

DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment
by: Wang, Hao, et al.
Published: (2025)

A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates
by: Rodriguez-Diaz, Paula, et al.
Published: (2025)

LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation
by: Martinson, Sarah, et al.
Published: (2025)

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
by: Mandi, Jayanta, et al.
Published: (2023)

Probing the Decision Boundaries of In-context Learning in Large Language Models
by: Zhao, Siyan, et al.
Published: (2024)