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Exploration in two-stage recommender systems

Sep 01, 2020
Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus

* Published at the REVEAL 2020 workshop (RecSys 2020) 

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Exact posterior distributions of wide Bayesian neural networks

Jun 18, 2020
Jiri Hron, Yasaman Bahri, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein

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Infinite attention: NNGP and NTK for deep attention networks

Jun 18, 2020
Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein, Roman Novak

* ICML 2020 

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Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Dec 05, 2019
Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz

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Orthogonal Estimation of Wasserstein Distances

Apr 05, 2019
Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamas Sarlos, Adrian Weller

* Published at AISTATS 2019 

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Successor Uncertainties: exploration and uncertainty in temporal difference learning

Oct 15, 2018
David Janz, Jiri Hron, José Miguel Hernández-Lobato, Katja Hofmann, Sebastian Tschiatschek

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Gaussian Process Behaviour in Wide Deep Neural Networks

Aug 16, 2018
Alexander G. de G. Matthews, Mark Rowland, Jiri Hron, Richard E. Turner, Zoubin Ghahramani

* This work substantially extends the work of Matthews et al. (2018) published at the International Conference on Learning Representations (ICLR) 2018 

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Variational Bayesian dropout: pitfalls and fixes

Jul 05, 2018
Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani

* Extended version of the paper accepted to ICML 2018: more details in the proofs, few minor modifications 

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Variational Gaussian Dropout is not Bayesian

Nov 08, 2017
Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani

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Concrete Dropout

May 22, 2017
Yarin Gal, Jiri Hron, Alex Kendall

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