Causally-Aware Information Bottleneck for Domain Adaptation

arXiv:2601.04361 · cs.LG, cs.AI · Submitted 2026-01-07 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-01-07

Updated: 2026-01-07

Code: https://github.com/majavid/CDA_IB

Terminology

• Adaptation — 18× in this paper · explained in 1 episode
• Bayesian Network — 17× in this paper
• Robustness — 16× in this paper · explained in 5 episodes
• Domain Adaptation — 13× in this paper · explained in 5 episodes
• Distribution Shift — 9× in this paper · explained in 5 episodes
• Covariate Shift — 8× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Abstraction — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Causal Inference — 4× in this paper · explained in 4 episodes
• Elias — 4× in this paper · explained in 2 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Bayesian Network (BN) — 3× in this paper · explained in 2 episodes
• Domain Shift — 3× in this paper · explained in 4 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Variational Information Bottleneck — 3× in this paper
• Zero-Shot Transfer — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Adversarial Robustness — 2× in this paper · explained in 3 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Directed Acyclic Graph — 2× in this paper
• Gaussian Information Bottleneck — 2× in this paper
• Invariant Information Bottleneck — 2× in this paper
• Mean Absolute Error — 2× in this paper
• Root Mean Squared Error — 2× in this paper
• Adversarial Training — 1× in this paper · explained in 1 episode
• Alignment Techniques — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Information Bottleneck The Information Bottleneck — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Spectral Gap — 1× in this paper · explained in 5 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Deep Variational Information Bottleneck
• Invariant Risk Minimization
• Understanding disentangling in $\beta$-VAE
• Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network
• The information bottleneck method

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