no code implementations • 10 Nov 2023 • Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer
Furthermore, potential causes may be correlated in practical applications.
no code implementations • 12 Jun 2023 • Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
Knowing the features of a complex system that are highly relevant to a particular target variable is of fundamental interest in many areas of science.
no code implementations • 20 Apr 2022 • Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer
Federated learning (FL) has been proposed as a method to train a model on different units without exchanging data.
no code implementations • 15 Jan 2022 • Arash Mehrjou, Ashkan Soleymani, Stefan Bauer, Bernhard Schölkopf
Model-free and model-based reinforcement learning are two ends of a spectrum.
2 code implementations • ICLR 2022 • Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
GeneDisco contains a curated set of multiple publicly available experimental data sets as well as open-source implementations of state-of-the-art active learning policies for experimental design and exploration.
1 code implementation • 24 Mar 2021 • Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer
Simulating the spread of infectious diseases in human communities is critical for predicting the trajectory of an epidemic and verifying various policies to control the devastating impacts of the outbreak.
no code implementations • 6 Jul 2020 • Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve
The problem of inferring the direct causal parents of a response variable among a large set of explanatory variables is of high practical importance in many disciplines.
no code implementations • 25 Sep 2019 • Arash Mehrjou, Ashkan Soleymani, Stefan Bauer, Bernhard Schölkopf
Model-free and model-based reinforcement learning are two ends of a spectrum.
Model-based Reinforcement Learning Reinforcement Learning (RL)