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Rho-Tau Bregman Information and the Geometry of Annealing Paths


Sep 15, 2022
Rob Brekelmans, Frank Nielsen

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* 26 pages + appendix 

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Your Policy Regularizer is Secretly an Adversary


Apr 01, 2022
Rob Brekelmans, Tim Genewein, Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Shane Legg, Pedro Ortega

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* 10 pages main text; added worked example 

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Model-Free Risk-Sensitive Reinforcement Learning


Nov 04, 2021
Grégoire Delétang, Jordi Grau-Moya, Markus Kunesch, Tim Genewein, Rob Brekelmans, Shane Legg, Pedro A. Ortega

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* DeepMind Tech Report: 13 pages, 4 figures 

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q-Paths: Generalizing the Geometric Annealing Path using Power Means


Jul 01, 2021
Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood

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* arXiv admin note: text overlap with arXiv:2012.07823 

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Likelihood Ratio Exponential Families


Jan 15, 2021
Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg

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* NeurIPS Workshop on Deep Learning through Information Geometry 

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Annealed Importance Sampling with q-Paths


Dec 14, 2020
Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen

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* NeurIPS Workshop on Deep Learning through Information Geometry (Best Paper Award) 

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Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective


Oct 31, 2020
Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood

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* NeurIPS 2020 

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Gaussian Process Bandit Optimization of theThermodynamic Variational Objective


Oct 29, 2020
Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood

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* NeurIPS 2020 

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All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference


Jul 01, 2020
Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan

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* ICML 2020 

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