Information Theory

Publication

Learning more skills through optimistic exploration

DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen

ICLR

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Publication

Gaussian dropout as an information bottleneck layer

Mélanie Rey, Andriy Mnih

NeurIPS Workshop

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Publication

Fast active learning for pure exploration in reinforcement learning

Pierre Ménard *, O Domingues *, Emilie Kaufmann *, Anders Jonsson *, Edouard Leurent *, Michal Valko

ICML

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Publication

Information Theoretic Meta Learning with Gaussian Processes

Michalis Titsias, Sotirios Nikoloutsopoulos *, Alexandre Galashov

arXiv

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Publication

Action and Perception as Divergence Minimization

Danijar Hafner *, Pedro A. Ortega, Jimmy Ba *, Thomas Parr *, Karl Friston *, Nicolas Heess

arXiv

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Making Sense of Reinforcement Learning and Probabilistic Inference

Brendan O'Donoghue, Ian Osband, Catalin Ionescu

ICLR

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Publication

A Mutual Information Maximization Perspective of Language Representation Learning

Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling, Lei Yu, Z Dai *, Dani Yogatama

arXiv

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Publication

Exact sampling of determinantal point processes with sublinear time preprocessing

Michal Dereziński *, Daniele Calandriello *, Michal Valko

NeurIPS

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Publication

Online Learning with Gated Linear Networks

Joel Veness, Tor Lattimore, Avishkar Bhoopchand, Agnieszka Grabska-Barwinska, Christopher Mattern, Peter Toth

arXiv

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Publication

Compress and Control

Joel Veness, Marc Gendron-Bellemare, M Hutter *, Alvin Chua, Guillaume Desjardins

AAAI

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Publication

Skip Context Tree Switching

Marc Gendron-Bellemare, Joel Veness, E Talvitie *

ICML

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Publication

Online Learning of k-CNF Boolean Functions

Joel Veness, M Hutter *, Laurent Orseau, Marc Gendron-Bellemare

IJCAI

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Publications

Information Theory