Using representation balancing to learn conditional-average dose responses from clustered data

arXiv:2309.03731 · cs.LG, stat.ME · Submitted 2023-09-07 · Read on arXiv

cs.LG, stat.ME

Submitted: 2023-09-07

Updated: 2024-07-26

Code: https://github.com/christopher-br/CBRNet

Terminology

• Regularization — 20× in this paper · explained in 3 episodes
• Benchmarking — 13× in this paper · explained in 3 episodes
• Clustering — 11× in this paper · explained in 2 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Causal Inference — 10× in this paper · explained in 4 episodes
• Adam — 5× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Wasserstein Distance — 5× in this paper · explained in 4 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Generalization Bounds — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
• An Overview on Clustering Methods

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