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cs.LG2026★ 1 cited
Partially Observed Structural Causal Models
Turan Orujlu, Jordan Matelsky, Martin V. Butz +2
Here we introduce Partially Observed Structural Causal Models (POSCMs) as an extension of structural causal models (SCMs) to settings where upstream contexts co-determine both the…
cs.LG2024
Empirical influence functions to understand the logic of fine-tuning
Jordan K. Matelsky, Lyle Ungar, Konrad P. Kording
Understanding the process of learning in neural networks is crucial for improving their performance and interpreting their behavior. This can be approximately understood by asking…