conftrace_

causal model

57 papers

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Co-occurring keywords

causal inference (1630) causal discovery (460) graphical model (864) counterfactual fairness (39) causal modeling (21) structural causal model (184) structural equation model (77) bayesian network (378) domain generalization (1522) algorithmic fairness (284)

Papers

A Non-Interventionist Approach to Causal Reasoning Based on Lewisian Counterfactuals IJCAI 2025
DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning JMLR 2025
Generating Synthetic Relational Tabular Data via Structural Causal Models ACL 2025
Measuring Goal-Directedness NIPS 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024
Learning Discrete Concepts in Latent Hierarchical Models NIPS 2024
Achievable distributional robustness when the robust risk is only partially identified NIPS 2024
Discovering Agents (Abstract Reprint) AAAI 2024
An Information-Flow Perspective on Algorithmic Fairness AAAI 2024
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques NIPS 2024
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning WACV 2024
Learning Truncated Causal History Model for Video Restoration NIPS 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion NIPS 2024
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization AAAI 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NIPS 2023
On the Interventional Kullback-Leibler Divergence CLEAR 2023
Real-Time Causal Spectro-Temporal Voice Activity Detection Based on Convolutional Encoding and Residual Decoding INTERSPEECH 2023
Differentiable Multi-Target Causal Bayesian Experimental Design ICML 2023
Learning Causal Models under Independent Changes NIPS 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model NIPS 2023
Moral Responsibility for AI Systems NIPS 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions NIPS 2023
Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies INTERSPEECH 2022
Unit Selection with Causal Diagram AAAI 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NIPS 2022