Pierre Thodoroff

According to our database, Pierre Thodoroff authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Correction: Vargas et al. Solving Schrödinger Bridges via Maximum Likelihood. Entropy 2021, 23, 1134.

Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, Neil D. Lawrence

Entropy, February, 2023

Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective.

Christian Cabrera, Andrei Paleyes, Pierre Thodoroff, Neil D. Lawrence

CoRR, 2023

2021

Solving Schrödinger Bridges via Maximum Likelihood.

Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, Neil D. Lawrence

Entropy, 2021

Benchmarking Real-Time Reinforcement Learning.

Pierre Thodoroff, Wenyu Li, Neil D. Lawrence

Proceedings of the NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 2021

2019

Recurrent Value Functions.

Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau

CoRR, 2019

2018

Adversarial Balancing for Causal Inference.

Michal Ozery-Flato, Pierre Thodoroff, Tal El-Hay

CoRR, 2018

Temporal Regularization for Markov Decision Process.

Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Learning Robust Features using Deep Learning for Automatic Seizure Detection.

Pierre Thodoroff, Joelle Pineau, Andrew Lim

Proceedings of the 1st Machine Learning in Health Care, 2016