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Found 2 papers, 1 papers with code
Designing Discontinuities
To do so, we propose a quantization-theoretic approach to optimize the effect of interest, first learning the causal effect size of a given discontinuous variable and then applying dynamic programming for optimal quantization design of discontinuities to balance the gain and loss in that effect size.
Learning Optimal Features via Partial Invariance
Learning models that are robust to distribution shifts is a key concern in the context of their real-life applicability.
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