1 code implementation • 9 Feb 2023 • Christian Cabrera, Andrei Paleyes, Pierre Thodoroff, Neil D. Lawrence
The survey shows the design decisions of the systems and the requirements these satisfy.
1 code implementation • 3 Jun 2021 • Francisco Vargas, Pierre Thodoroff, Neil D. Lawrence, Austen Lamacraft
The Schr\"odinger bridge problem (SBP) finds the most likely stochastic evolution between two probability distributions given a prior stochastic evolution.
no code implementations • 23 May 2019 • Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau
Despite recent successes in Reinforcement Learning, value-based methods often suffer from high variance hindering performance.
1 code implementation • NeurIPS 2018 • Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup
Several applications of Reinforcement Learning suffer from instability due to high variance.
2 code implementations • 1 Nov 2018 • Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup
Several applications of Reinforcement Learning suffer from instability due to high variance.
1 code implementation • 17 Oct 2018 • Michal Ozery-Flato, Pierre Thodoroff, Matan Ninio, Michal Rosen-Zvi, Tal El-Hay
Biases in observational data of treatments pose a major challenge to estimating expected treatment outcomes in different populations.
1 code implementation • 31 Jul 2016 • Pierre Thodoroff, Joelle Pineau, Andrew Lim
We present and evaluate the capacity of a deep neural network to learn robust features from EEG to automatically detect seizures.