:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Bellot, Alexis
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2311.07259
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lower Bounds on the Size of Markov Equivalence Classes
by: Jahn, Erik, et al.
Published: (2025)

Partial Transportability for Domain Generalization
by: Jalaldoust, Kasra, et al.
Published: (2025)

The Limits of Predicting Agents from Behaviour
by: Bellot, Alexis, et al.
Published: (2025)

General agents contain world models
by: Richens, Jonathan, et al.
Published: (2025)

Markov Equivalence and Consistency in Differentiable Structure Learning
by: Deng, Chang, et al.
Published: (2024)

Variational quantization for state space models
by: David, Etienne, et al.
Published: (2024)

Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs
by: Schauer, Moritz, et al.
Published: (2023)

Information-Theoretic Causal Bounds under Unmeasured Confounding
by: Jung, Yonghan, et al.
Published: (2026)

Concentration Bounds for Optimized Certainty Equivalent Risk Estimation
by: Ghosh, Ayon, et al.
Published: (2024)

Evaluating the Goal-Directedness of Large Language Models
by: Everitt, Tom, et al.
Published: (2025)

Empirical PAC-Bayes Bounds for Markov Chains
by: Karagulyan, Vahe, et al.
Published: (2025)

Generalization Bounds for Equivariant Networks on Markov Data
by: Li, Hui, et al.
Published: (2025)

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
by: Aglietti, Virginia, et al.
Published: (2024)

Mind the Graph When Balancing Data for Fairness or Robustness
by: Schrouff, Jessica, et al.
Published: (2024)

IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning
by: Balazadeh, Vahid, et al.
Published: (2026)

RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model
by: Fan, Junyi, et al.
Published: (2024)

Membership Testing in Markov Equivalence Classes via Independence Query Oracles
by: Zhang, Jiaqi, et al.
Published: (2024)

Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
by: Ling, Zhaolong, et al.
Published: (2021)

MEC-IP: Efficient Discovery of Markov Equivalent Classes via Integer Programming
by: Elrefaey, Abdelmonem, et al.
Published: (2024)

Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding
by: Peña, Jose M.
Published: (2024)

Bit-Level Discrete Diffusion with Markov Probabilistic Models: An Improved Framework with Sharp Convergence Bounds under Minimal Assumptions
by: Pham, Le-Tuyet-Nhi, et al.
Published: (2025)

Enes Causal Discovery
by: Kafantaris, Alexis
Published: (2026)

Generalization Bounds for Markov Algorithms through Entropy Flow Computations
by: Dupuis, Benjamin, et al.
Published: (2025)

Performance Improvement Bounds for Lipschitz Configurable Markov Decision Processes
by: Metelli, Alberto Maria
Published: (2024)

A Markov Decision Process for Variable Selection in Branch & Bound
by: Strang, Paul, et al.
Published: (2025)

Fair Risk Minimization under Causal Path-Specific Effect Constraints
by: Nabi, Razieh, et al.
Published: (2024)

Identifying Nonstationary Causal Structures with High-Order Markov Switching Models
by: Balsells-Rodas, Carles, et al.
Published: (2024)

Risk Estimation in a Markov Cost Process: Lower and Upper Bounds
by: Thoppe, Gugan, et al.
Published: (2023)

Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning
by: Dai, Haoyue, et al.
Published: (2026)

Improved Bound for Robust Causal Bandits with Linear Models
by: Yan, Zirui, et al.
Published: (2024)

Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption
by: Chen, Weilin, et al.
Published: (2025)

Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
by: Guo, Anna, et al.
Published: (2023)

Efficient Transfer Learning via Causal Bounds
by: Gong, Xueping, et al.
Published: (2023)

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
by: Chen, Weilin, et al.
Published: (2024)

Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis
by: Csillag, Daniel, et al.
Published: (2024)

Bounding Causal Effects and Counterfactuals
by: Maringgele, Tobias
Published: (2025)

Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
by: Herman, Rebecca J., et al.
Published: (2025)

A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the same Skeleton
by: Sharma, Vidya Sagar
Published: (2023)

Towards Learning and Explaining Indirect Causal Effects in Neural Networks
by: Reddy, Abbavaram Gowtham, et al.
Published: (2023)

Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation
by: Hsu, Chan, et al.
Published: (2024)