Christopher Mattern

21 papers A* 3B 5Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A* conf
Language Modeling Is Compression.
ICLR
Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness
2024 A* conf
Learning Universal Predictors.
ICML
Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness
2024 J jnl
Learning Universal Predictors.
CoRR
Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness
2023 J jnl
Hierarchical Partitioning Forecaster.
CoRR
Christopher Mattern
2023 J jnl
Language Modeling Is Compression.
CoRR
Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness
2021 A* conf
Gated Linear Networks.
AAAI
Joel Veness, Tor Lattimore, David Budden, Avishkar Bhoopchand, Christopher Mattern, Agnieszka Grabska-Barwinska, Eren Sezener, Jianan Wang, Peter Toth, Simon Schmitt, Marcus Hutter
2019 J jnl
Gated Linear Networks.
CoRR
Joel Veness, Tor Lattimore, Avishkar Bhoopchand, David Budden, Christopher Mattern, Agnieszka Grabska-Barwinska, Peter Toth, Simon Schmitt, Marcus Hutter
2018 B conf
Generalized Probability Smoothing.
DCC
Christopher Mattern
2017 J jnl
Generalized Probability Smoothing.
CoRR
Christopher Mattern
2017 J jnl
Online Learning with Gated Linear Networks.
CoRR
Joel Veness, Tor Lattimore, Avishkar Bhoopchand, Agnieszka Grabska-Barwinska, Christopher Mattern, Peter Toth
2016 — —
On Statistical Data Compression.
Christopher Mattern
2015 B conf
On Probability Estimation by Exponential Smoothing.
DCC
Christopher Mattern
2015 J jnl
On Probability Estimation by Exponential Smoothing.
CoRR
Christopher Mattern
2015 B conf
On Probability Estimation via Relative Frequencies and Discount.
DCC
Christopher Mattern
2013 J jnl
Combining non-stationary prediction, optimization and mixing for data compression
CoRR
Christopher Mattern
2013 J jnl
Linear and Geometric Mixtures - Analysis
CoRR
Christopher Mattern
2013 B conf
Linear and Geometric Mixtures - Analysis.
DCC
Christopher Mattern
2013 J jnl
Mixing Strategies in Data Compression
CoRR
Christopher Mattern
2013 J jnl
On Probability Estimation via Relative Frequencies and Discount.
CoRR
Christopher Mattern
2012 B conf
Mixing Strategies in Data Compression.
DCC
Christopher Mattern
2011 — conf
Combining Non-stationary Prediction, Optimization and Mixing for Data Compression.
CCP
Christopher Mattern