Causal Abstraction Inference under Lossy Representations
Fuente:
arXiv
Guardado en:
| Autores principales: | Xia, Kevin, Bareinboim, Elias |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Neural Causal Abstractions
por: Xia, Kevin, et al.
Publicado: (2024)
por: Xia, Kevin, et al.
Publicado: (2024)
Fairness-Accuracy Trade-Offs: A Causal Perspective
por: Plecko, Drago, et al.
Publicado: (2024)
por: Plecko, Drago, et al.
Publicado: (2024)
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
por: Plecko, Drago, et al.
Publicado: (2024)
por: Plecko, Drago, et al.
Publicado: (2024)
Causally Aligned Curriculum Learning
por: Li, Mingxuan, et al.
Publicado: (2025)
por: Li, Mingxuan, et al.
Publicado: (2025)
Causal Algorithmic Recourse: Foundations and Methods
por: Plecko, Drago, et al.
Publicado: (2026)
por: Plecko, Drago, et al.
Publicado: (2026)
Causal Identification from Counterfactual Data: Completeness and Bounding Results
por: Raghavan, Arvind, et al.
Publicado: (2026)
por: Raghavan, Arvind, et al.
Publicado: (2026)
From Black-box to Causal-box: Towards Building More Interpretable Models
por: Hwang, Inwoo, et al.
Publicado: (2025)
por: Hwang, Inwoo, et al.
Publicado: (2025)
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
por: Li, Mingxuan, et al.
Publicado: (2026)
por: Li, Mingxuan, et al.
Publicado: (2026)
Less Greedy Equivalence Search
por: Ejaz, Adiba, et al.
Publicado: (2025)
por: Ejaz, Adiba, et al.
Publicado: (2025)
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
por: Jeong, Hyunchai, et al.
Publicado: (2024)
por: Jeong, Hyunchai, et al.
Publicado: (2024)
Counterfactual Image Editing
por: Pan, Yushu, et al.
Publicado: (2024)
por: Pan, Yushu, et al.
Publicado: (2024)
Counterfactual Realizability
por: Raghavan, Arvind, et al.
Publicado: (2025)
por: Raghavan, Arvind, et al.
Publicado: (2025)
Automatic Reward Shaping from Confounded Offline Data
por: Li, Mingxuan, et al.
Publicado: (2025)
por: Li, Mingxuan, et al.
Publicado: (2025)
Partial Transportability for Domain Generalization
por: Jalaldoust, Kasra, et al.
Publicado: (2025)
por: Jalaldoust, Kasra, et al.
Publicado: (2025)
Confounding Robust Continuous Control via Automatic Reward Shaping
por: Juliani, Mateo, et al.
Publicado: (2026)
por: Juliani, Mateo, et al.
Publicado: (2026)
On the Identifiability of Causal Abstractions
por: Li, Xiusi, et al.
Publicado: (2025)
por: Li, Xiusi, et al.
Publicado: (2025)
Partial Identification Approach to Counterfactual Fairness Assessment
por: Rho, Saeyoung, et al.
Publicado: (2025)
por: Rho, Saeyoung, et al.
Publicado: (2025)
The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?
por: Sutter, Denis, et al.
Publicado: (2025)
por: Sutter, Denis, et al.
Publicado: (2025)
Causal Abstractions, Categorically Unified
por: Englberger, Markus, et al.
Publicado: (2025)
por: Englberger, Markus, et al.
Publicado: (2025)
Confounder Detection via Treatment Intent: A New Observational Study Design
por: Plecko, Drago, et al.
Publicado: (2026)
por: Plecko, Drago, et al.
Publicado: (2026)
Distributionally Robust Causal Abstractions
por: Felekis, Yorgos, et al.
Publicado: (2025)
por: Felekis, Yorgos, et al.
Publicado: (2025)
Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
por: Plecko, Drago, et al.
Publicado: (2025)
por: Plecko, Drago, et al.
Publicado: (2025)
Learning Causal Abstractions of Linear Structural Causal Models
por: Massidda, Riccardo, et al.
Publicado: (2024)
por: Massidda, Riccardo, et al.
Publicado: (2024)
The Causal Information Bottleneck and Optimal Causal Variable Abstractions
por: Simoes, Francisco N. F. Q., et al.
Publicado: (2024)
por: Simoes, Francisco N. F. Q., et al.
Publicado: (2024)
Disentangled Representation Learning for Causal Inference with Instruments
por: Cheng, Debo, et al.
Publicado: (2024)
por: Cheng, Debo, et al.
Publicado: (2024)
Deep Causal Learning: Representation, Discovery and Inference
por: Deng, Zizhen, et al.
Publicado: (2022)
por: Deng, Zizhen, et al.
Publicado: (2022)
Learning Consistent Causal Abstraction Networks
por: D'Acunto, Gabriele, et al.
Publicado: (2026)
por: D'Acunto, Gabriele, et al.
Publicado: (2026)
Deep Autoregressive Models as Causal Inference Engines
por: Im, Daniel Jiwoong, et al.
Publicado: (2024)
por: Im, Daniel Jiwoong, et al.
Publicado: (2024)
On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference
por: Fang, Zhuangyan, et al.
Publicado: (2022)
por: Fang, Zhuangyan, et al.
Publicado: (2022)
Causal Abstraction Learning based on the Semantic Embedding Principle
por: D'Acunto, Gabriele, et al.
Publicado: (2025)
por: D'Acunto, Gabriele, et al.
Publicado: (2025)
VeriCache: Turning Lossy KV Cache into Lossless LLM Inference
por: Yao, Jiayi, et al.
Publicado: (2026)
por: Yao, Jiayi, et al.
Publicado: (2026)
Structure Maintained Representation Learning Neural Network for Causal Inference
por: Sun, Yang, et al.
Publicado: (2025)
por: Sun, Yang, et al.
Publicado: (2025)
How Causal Abstraction Underpins Computational Explanation
por: Geiger, Atticus, et al.
Publicado: (2025)
por: Geiger, Atticus, et al.
Publicado: (2025)
Causality by Abstraction: Symbolic Rule Learning in Multivariate Timeseries with Large Language Models
por: Biswas, Preetom, et al.
Publicado: (2026)
por: Biswas, Preetom, et al.
Publicado: (2026)
Combining Causal Models for More Accurate Abstractions of Neural Networks
por: Pîslar, Theodora-Mara, et al.
Publicado: (2025)
por: Pîslar, Theodora-Mara, et al.
Publicado: (2025)
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
por: Kong, Deqian, et al.
Publicado: (2024)
por: Kong, Deqian, et al.
Publicado: (2024)
Robust Causal Directionality Inference in Quantum Inference under MNAR Observation and High-Dimensional Noise
por: Kang, Joonsung
Publicado: (2025)
por: Kang, Joonsung
Publicado: (2025)
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
por: Clivio, Oscar, et al.
Publicado: (2024)
por: Clivio, Oscar, et al.
Publicado: (2024)
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
por: Belloni, Alexandre, et al.
Publicado: (2022)
por: Belloni, Alexandre, et al.
Publicado: (2022)
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
por: Plecko, Drago, et al.
Publicado: (2025)
por: Plecko, Drago, et al.
Publicado: (2025)
Ejemplares similares
-
Neural Causal Abstractions
por: Xia, Kevin, et al.
Publicado: (2024) -
Fairness-Accuracy Trade-Offs: A Causal Perspective
por: Plecko, Drago, et al.
Publicado: (2024) -
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
por: Plecko, Drago, et al.
Publicado: (2024) -
Causally Aligned Curriculum Learning
por: Li, Mingxuan, et al.
Publicado: (2025) -
Causal Algorithmic Recourse: Foundations and Methods
por: Plecko, Drago, et al.
Publicado: (2026)