docs: fix argmaxes in experimentalist overview

AutoResearch · Jun 1, 2023 · 7a95689 · 7a95689
1 parent e6a28d9
commit 7a95689
Showing 1 changed file with 7 additions and 7 deletions.
diff --git a/docs/experimentalist/index.md b/docs/experimentalist/index.md
@@ -28,13 +28,13 @@ experiment conditions that have already been probed $\vec{x}' \in X'$, or
 respective dependent measures $\vec{y}' \in Y'$. The following table includes the experimentalists currently implemented
  in AutoRA.
 
-| Experimentalist  | Function                                                                                                                      | Arguments  |
-|------------------|-------------------------------------------------------------------------------------------------------------------------------|------------|
-| Random           | $\vec{x_i} \sim U[a_i,b_i]$                                                                                                   |            |
-| Novelty          | $\underset{\vec{x}}{\arg\max}~\min(d(\vec{x}, \vec{x}'))$                                                                     | $X'$       |
-| Least Confident  | $\underset{\vec{x}}{\arg\max}~1 - P_M(\hat{y}^*, \vec{x})$, $\hat{y}^* = \underset{\hat{y}}{\arg\max}~P_M(\hat{y}_i \vec{x})$ | $M$        |
-| Model Comparison | $\underset{\vec{x}}{\argmax}~(P_{M_1}(\hat{y}, \vec{x}) - P_{M_2}(\hat{y} \vec{x}))^2$                                        | $M$        |
-| Falsification    | $\underset{\vec{x}}{\argmax}~\hat{\mathcal{L}}(M,X',Y',\vec{x})$                                                              | $M, X', Y'$ |
+| Experimentalist  | Function                                                                                                                      | Arguments   |
+|------------------|-------------------------------------------------------------------------------------------------------------------------------|-------------|
+| Random           | $\vec{x_i} \sim U[a_i,b_i]$                                                                                                   |             |
+| Novelty          | $\underset{\vec{x}}{\arg\max}~\min(d(\vec{x}, \vec{x}'))$                                                                     | $X'$        |
+| Least Confident  | $\underset{\vec{x}}{\arg\max}~1 - P_M(\hat{y}^*, \vec{x})$, $\hat{y}^* = \underset{\hat{y}}{\arg\max}~P_M(\hat{y}_i \vec{x})$ | $M$         |
+| Model Comparison | $\underset{\vec{x}}{\arg\max}~(P_{M_1}(\hat{y}, \vec{x}) - P_{M_2}(\hat{y} \vec{x}))^2$                                       | $M$         |
+| Falsification    | $\underset{\vec{x}}{\arg\max}~\hat{\mathcal{L}}(M,X',Y',\vec{x})$                                                             | $M, X', Y'$ |