Imagen de Portada

Causal Strategic Learning with Competitive Selection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vo, Kiet Q. H., Aadil, Muneeb, Chau, Siu Lun, Muandet, Krikamol
Formato:	Preprint
Publicado:	2023
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Explanation Design in Strategic Learning: Sufficient Explanations that Induce Non-harmful Responses
por: Vo, Kiet Q. H., et al.
Publicado: (2025)

Amortized Linear-time Exact Shapley Value for Product-Kernel Methods
por: Mohammadi, Majid, et al.
Publicado: (2025)

When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates
por: Caprio, Michele, et al.
Publicado: (2025)

Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities
por: Yang, Anita, et al.
Publicado: (2026)

Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
por: Mohammadi, Majid, et al.
Publicado: (2025)

Truthful Elicitation of Imprecise Forecasts
por: Singh, Anurag, et al.
Publicado: (2025)

Integral Imprecise Probability Metrics
por: Chau, Siu Lun, et al.
Publicado: (2025)

A Measure-Theoretic Axiomatisation of Causality
por: Park, Junhyung, et al.
Publicado: (2023)

Domain Generalisation via Imprecise Learning
por: Singh, Anurag, et al.
Publicado: (2024)

Instrumental and Proximal Causal Inference with Gaussian Processes
por: Zhang, Yuqi, et al.
Publicado: (2026)

Quantification of Credal Uncertainty: A Distance-Based Approach
por: Gonzalez-Garcia, Xabier, et al.
Publicado: (2026)

Kernel Quantile Embeddings and Associated Probability Metrics
por: Naslidnyk, Masha, et al.
Publicado: (2025)

Performative Learning Theory
por: Rodemann, Julian, et al.
Publicado: (2026)

Incentive Aware AI Regulations: A Credal Characterisation
por: Singh, Anurag, et al.
Publicado: (2026)

Credal Two-Sample Tests of Epistemic Uncertainty
por: Chau, Siu Lun, et al.
Publicado: (2024)

QuadraSHAP: Stable and Scalable Shapley Values for Product Games via Gauss-Legendre Quadrature
por: Mohammadi, Majid, et al.
Publicado: (2026)

Sufficient Invariant Learning for Distribution Shift
por: Kim, Taero, et al.
Publicado: (2022)

(Im)possibility of Collective Intelligence
por: Muandet, Krikamol
Publicado: (2022)

Bayesian Optimization for Building Social-Influence-Free Consensus
por: Adachi, Masaki, et al.
Publicado: (2025)

Lost in Aggregation: The Causal Interpretation of the IV Estimand
por: Tsao, Danielle, et al.
Publicado: (2026)

Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration
por: Zhang, Chongsheng, et al.
Publicado: (2026)

Securing AI Agents: Implementing Role-Based Access Control for Industrial Applications
por: Ganie, Aadil Gani
Publicado: (2025)

Looping in the Human Collaborative and Explainable Bayesian Optimization
por: Adachi, Masaki, et al.
Publicado: (2023)

Strategic Self-Improvement for Competitive Agents in AI Labour Markets
por: Chiu, Christopher, et al.
Publicado: (2025)

Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic
por: Vo, Thanh Vinh, et al.
Publicado: (2025)

Causal-Aware Generative Adversarial Networks with Reinforcement Learning
por: Nguyen, Tu Anh Hoang, et al.
Publicado: (2025)

Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
por: Zhang, Xinchen, et al.
Publicado: (2024)

An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
por: Akbar, Uzair, et al.
Publicado: (2025)

Causal Feature Selection for Responsible Machine Learning
por: Moraffah, Raha, et al.
Publicado: (2024)

Consistently Informative Soft-Label Temperature for Knowledge Distillation
por: Luong, Hoang-Chau, et al.
Publicado: (2026)

Federated Causal Inference from Observational Data
por: Vo, Thanh Vinh, et al.
Publicado: (2023)

Interpretable Machine Learning for Football Performance Analysis: Evidence of Limited Transferability from Elite Leagues to University Competition
por: Tsai, Yu-Fang, et al.
Publicado: (2026)

Ordering-based Causal Discovery via Generalized Score Matching
por: Vo, Vy, et al.
Publicado: (2026)

Unbiased Platform-Level Causal Estimation for Search Systems: A Competitive Isolation PSM-DID Framework
por: Song, Ying, et al.
Publicado: (2025)

Algorithmic Advice as a Strategic Signal on Competitive Markets
por: Rebholz, Tobias R., et al.
Publicado: (2025)

Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
por: Chang, Trenton, et al.
Publicado: (2024)

Strategic Resource Selection with Homophilic Agents
por: Harder, Jonathan Gadea, et al.
Publicado: (2023)

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning
por: Vo, Vy, et al.
Publicado: (2025)

Towards Trustworthy AI: Secure Deepfake Detection using CNNs and Zero-Knowledge Proofs
por: Islam, H M Mohaimanul, et al.
Publicado: (2025)

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons
por: So, Chi Chiu, et al.
Publicado: (2025)