Pierre Thodoroff

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 11

Top Topics

Maximum Likelihood

Machine Learning Systems

Hamilton Jacobi

Top Venues

Pre-Registration Workshop @ NeurIPS

Publications

Christian Cabrera, Andrei Paleyes, Pierre Thodoroff, Neil D. Lawrence
Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective. CoRR (2023)
Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, Neil D. Lawrence
Correction: Vargas et al. Solving Schrödinger Bridges via Maximum Likelihood. Entropy 2021, 23, 1134. Entropy 25 (2) (2023)
Francisco Vargas, Pierre Thodoroff, Neil D. Lawrence, Austen Lamacraft
Solving Schrödinger Bridges via Maximum Likelihood. CoRR (2021)
Francisco Vargas, Pierre Thodoroff, Austen Lamacraft, Neil D. Lawrence
Solving Schrödinger Bridges via Maximum Likelihood. Entropy 23 (9) (2021)
Pierre Thodoroff, Wenyu Li, Neil D. Lawrence
Benchmarking Real-Time Reinforcement Learning. Pre-Registration Workshop @ NeurIPS (2021)
Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau
Recurrent Value Functions. CoRR (2019)
Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup
Temporal Regularization in Markov Decision Process. CoRR (2018)
Michal Ozery-Flato, Pierre Thodoroff, Tal El-Hay
Adversarial Balancing for Causal Inference. CoRR (2018)
Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup
Temporal Regularization for Markov Decision Process. NeurIPS (2018)
Pierre Thodoroff, Joelle Pineau, Andrew Lim
Learning Robust Features using Deep Learning for Automatic Seizure Detection. MLHC (2016)
Pierre Thodoroff, Joelle Pineau, Andrew Lim
Learning Robust Features using Deep Learning for Automatic Seizure Detection. CoRR (2016)