seq2cause: One Autoregressive Backbone, Four Causal Discovery Tasks in Event Sequences
cs.LG
Submitted: 2026-09-25
Updated: 2026-09-25
Code: https://github.com/joschac/cascade6https:
Terminology
Sources
- A tutorial introduction to the minimum description length principle
- LLaMA: Open and Efficient Foundation Language Models
- Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks