update credentials

Author: fsschneider

README.md

@@ -4,15 +4,15 @@ DeepOBS is a benchmarking suite that drastically simplifies, automates and impro
 
 It can evaluate the performance of new optimizers on a variety of **real-world test problems** and automatically compare them with **realistic baselines**.
 
-The full documentation is available on readthedocs: https://deepobs-iclr.readthedocs.io/
+The full documentation is available on readthedocs: https://deepobs.readthedocs.io/
 
-The paper describing DeepOBS is currently under review for ICLR 2019:
+The paper describing DeepOBS has been accepted for ICLR 2019 and can be found here:
 https://openreview.net/forum?id=rJg6ssC5Y7
 
 ##  Quick Start Guide
 
 ### Install Deep OBS
-	pip install git+https://github.com/anonymousICLR2019submitter/DeepOBS.git
+	pip install git+https://github.com/fsschneider/DeepOBS.git
 
 ### Download the data
 	deepobs_prepare_data.sh
@@ -32,7 +32,7 @@ Of course, the real value of a benchmark lies in evaluating new optimizers:
 ### Download and edit a run script
 You can download a template run script from there
 
-https://github.com/anonymousICLR2019submitter/DeepOBS/blob/master/scripts/deepobs_run_sgd.py
+https://github.com/fsschneider/DeepOBS/blob/master/scripts/deepobs_run_sgd.py
 
 Now you have a deepobs_run_script.py script in your folder. In order to run your optimizer, you need to change a few things in this script.
 The script takes take of the training, evaluation and logging.

docs/conf.py

@@ -20,8 +20,8 @@
 # -- Project information -----------------------------------------------------
 
 project = u'DeepOBS'
-copyright = u'2018, Anonymous ICLR 2019 Submitter'
-author = u'Anonymous ICLR 2019 Submitter'
+copyright = u'2019, Frank Schneider'
+author = u'Frank Schneider'
 
 # The short X.Y version
 version = u'1.0'
@@ -136,7 +136,7 @@
 #  author, documentclass [howto, manual, or own class]).
 latex_documents = [
     (master_doc, 'DeepOBS.tex', u'DeepOBS Documentation',
-     u'Anonymous ICLR 2019 Submitter', 'manual'),
+     u'Frank Schneider', 'manual'),
 ]
 
 

docs/index.rst

@@ -37,4 +37,4 @@ Indices and tables
 * :ref:`search`
 
 
-.. _GitHub: https://github.com/anonymousICLR2019submitter/DeepOBS
+.. _GitHub: https://github.com/fsschneider/DeepOBS

docs/user_guide/quick_start.rst

@@ -13,7 +13,7 @@ You can install the latest stable release of DeepOBS using `pip`:
 
 .. code-block:: bash
 
-   pip install git+https://github.com/anonymousICLR2019submitter/DeepOBS.git
+   pip install git+https://github.com/fsschneider/DeepOBS.git
 
 .. NOTE::
   The package requires the following packages:

docs/user_guide/tutorial.rst

@@ -173,4 +173,4 @@ which will produce an animation like this
 
       Trajectory of *SGD* on the stochastic Branin function. The blue function is the non-stochastic version, while the z-value is given by the (observed) stochastic function value.
 
-.. _GitHub: https://github.com/anonymousICLR2019submitter/DeepOBS/blob/master/scripts/deepobs_run_sgd.py
+.. _GitHub: https://github.com/fsschneider/DeepOBS/blob/master/scripts/deepobs_run_sgd.py

setup.py

@@ -3,9 +3,9 @@
 setup(name='deepobs',
       version='1.0.1',
       description='Deep Optimization Benchmark Suite',
-      url='https://github.com/anonymousICLR2019submitter/DeepOBS',
-      author='Anonymous ICLR 2019 Submitter',
-      author_email='anonymousiclr2019submitter@gmail.com',
+      url='https://github.com/fsschneider/DeepOBS',
+      author='Frank Schneider, Lukas Balles',
+      author_email='frank.schneider@tuebingen.mpg.de',
       license='MIT',
       packages=find_packages(),
       install_requires=[