Docs: Add authors info

Polish phrasing and typos.

Author: ehudkr

README.md

@@ -25,23 +25,20 @@ treatment assignment, treatment effect, and censoring.
 The evaluation script is not bounded to the provided data, 
 and can be used on other data as 
 long as some basic requirements are kept regarding the formats. 
-The evaluation metrics that are provided include the RMSE, the 
-effect-normalized RMSE, and several metrics regarding the confidence 
-intervals. 
-More technical details regarding the calculated metrics and the formats of the 
+Full technical details regarding the calculated metrics and the formats of the 
 labeled and unlabeled data will be published soon through a related manuscript. 
-Most of the details can be found in the
-[Casual Inference Cahllenge 2018](https://www.synapse.org/#!Synapse:syn11294478)
+Meanwhile, most of the details can be found in the 
+[2018 Casual Inference Challenge](https://www.synapse.org/ACIC2018Challenge)
 website.
 
 Please note that due to GitHub limitation, only a sample of the data is 
 available in this repository. However, you can manually access and download 
 the entire dataset from the 
 [Synapse sharing platform](https://www.synapse.org/#!Synapse:syn11294478/files/).
 Furthermore, since the benchmarking tool is used in the 
-[Casual Inference Cahllenge 2018](https://www.synapse.org/#!Synapse:syn11294478),
-the dataset currently includes a handful of example data with labeles.
-The full set will be available when the challenge ends.
+[Casual Inference Challenge 2018](https://www.synapse.org/#!Synapse:syn11294478),
+the dataset currently includes a handful of example data with labels.
+The full set of labeled data will be available when the challenge ends.
 
 ## Getting Started
 ### Prerequisites
@@ -100,7 +97,7 @@ scores = evaluate(PATH_TO_PREDICTION_OUTPUT, PATH_TO_COUNTERFACTUAL_FILES_DIRECT
                   individual_prediction=True)
 ```
 ##### Expected Files
-* The counterfactual files (holding $y^1$, $y^0$ for each individual), are expected to be a
+* The counterfactual outcomes files (holding $y^1$, $y^0$ for each individual), are expected to be a
   directory with different comma-separated-files and their file names corresponding to the
   data-instance but having some suffix (e.g. `"_cf.csv"`).
 * The predictions for population effect size are expected to be one comma-delimited-file with
@@ -109,7 +106,7 @@ scores = evaluate(PATH_TO_PREDICTION_OUTPUT, PATH_TO_COUNTERFACTUAL_FILES_DIRECT
   comma-delimited-files, each corresponding to a data-instance and each containing the
   estimated outcome under no-treatment and under positive treatment.
 
-For full explanation, please refer to the menuscript **TODO: link to menuscript** 
+For full explanation, please refer to the menuscript.
 
 #### Estimation
 To avoid inflating file sizes for nothing, 
@@ -146,10 +143,7 @@ The current content is open source under Apache License 2.0. For full specificat
 [License.txt](License.txt)
 
 ## Authors
-* bullets (link to personal github profile)
-* of 
-* authors' (link to personal site)
-* names
-
-
+* Yishai Shimoni ([Homepage](http://researcher.watson.ibm.com/researcher/view.php?person=il-YISHAIS))
+* Chen Yanover ([Homepage](http://researcher.watson.ibm.com/researcher/view.php?person=il-CHENY))
+* Ehud Karavani ([Github](https://github.com/ehudkr))