Imagen de Portada

The Approximate Fisher Influence Function: Faster Estimation of Data Influence in Statistical Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lev, Omri, Wilson, Ashia C.
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Position: AI Evaluations Should be Grounded on a Theory of Capability
por: Jo, Nathanael, et al.
Publicado: (2025)

Influence Functions for Scalable Data Attribution in Diffusion Models
por: Mlodozeniec, Bruno, et al.
Publicado: (2024)

Revisiting Data Attribution for Influence Functions
por: Zhu, Hongbo, et al.
Publicado: (2025)

Data Descriptions from Large Language Models with Influence Estimation
por: Kim, Chaeri, et al.
Publicado: (2025)

Accumulative SGD Influence Estimation for Data Attribution
por: Shi, Yunxiao, et al.
Publicado: (2025)

Layer-Aware Influence for Online Data Valuation Estimation
por: Yang, Ziao, et al.
Publicado: (2025)

Efficient Machine Unlearning via Influence Approximation
por: Liu, Jiawei, et al.
Publicado: (2025)

Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models
por: Chekalina, Viktoriia, et al.
Publicado: (2025)

Concept Influence: Leveraging Interpretability to Improve Performance and Efficiency in Training Data Attribution
por: Kowal, Matthew, et al.
Publicado: (2026)

Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
por: Flores, Gerardo A., et al.
Publicado: (2025)

Distributional Training Data Attribution: What do Influence Functions Sample?
por: Mlodozeniec, Bruno, et al.
Publicado: (2025)

LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
por: Askari, Hadi, et al.
Publicado: (2025)

Influence Functions for Preference Dataset Pruning
por: Fein, Daniel, et al.
Publicado: (2025)

Delayed Feedback Modeling with Influence Functions
por: Ding, Chenlu, et al.
Publicado: (2025)

Data Augmentation Policy Search for Long-Term Forecasting
por: Nochumsohn, Liran, et al.
Publicado: (2024)

Interaction-Aware Influence Functions for Group Attribution
por: Heo, Jaeseung, et al.
Publicado: (2026)

Integrated Influence: Data Attribution with Baseline
por: Yang, Linxiao, et al.
Publicado: (2025)

DMin: Scalable Training Data Influence Estimation for Diffusion Models
por: Lin, Huawei, et al.
Publicado: (2024)

On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation
por: Huang, Jiawei, et al.
Publicado: (2023)

The Fast Mixing Mechanism for Differential Privacy
por: Lev, Omri, et al.
Publicado: (2026)

A Consequentialist Critique of Binary Classification Evaluation: Theory, Practice, and Tools
por: Flores, Gerardo, et al.
Publicado: (2025)

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
por: Lin, Jinxu, et al.
Publicado: (2024)

Unraveling Indirect In-Context Learning Using Influence Functions
por: Askari, Hadi, et al.
Publicado: (2025)

Faithful and Fast Influence Function via Advanced Sampling
por: Koh, Jungyeon, et al.
Publicado: (2025)

A Unified Theory of Random Projection for Influence Functions
por: Hu, Pingbang, et al.
Publicado: (2026)

Fisher Flow Matching for Generative Modeling over Discrete Data
por: Davis, Oscar, et al.
Publicado: (2024)

Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks
por: Naujoks, Jonas R., et al.
Publicado: (2025)

Toward Efficient Influence Function: Dropout as a Compression Tool
por: Zhang, Yuchen, et al.
Publicado: (2025)

IFFair: Influence Function-driven Sample Reweighting for Fair Classification
por: Yang, Jingran, et al.
Publicado: (2025)

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
por: Choe, Sang Keun, et al.
Publicado: (2024)

A Comparative Analysis of Influence Signals for Data Debugging
por: Myrtakis, Nikolaos, et al.
Publicado: (2025)

Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data
por: Agarwal, Ishika, et al.
Publicado: (2025)

Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
por: Hiraoka, Takuya, et al.
Publicado: (2024)

Correcting Large Language Model Behavior via Influence Function
por: Zhang, Han, et al.
Publicado: (2024)

LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
por: Rokvic, Ljubomir, et al.
Publicado: (2022)

Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning
por: Huo, Yingxiao, et al.
Publicado: (2026)

Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
por: Heo, Jaeseung, et al.
Publicado: (2025)

The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
por: Lev, Omri, et al.
Publicado: (2025)

DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models
por: De Simone, Zoe, et al.
Publicado: (2023)

f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
por: Panda, Subhodip, et al.
Publicado: (2025)