Most of my articles are available online from
the arXiv
in PDF ,
PostScript ,
and LaTeX format.
Sometimes also
slides (PS,
PDF,
PPT),
program code ,
press coverage ,
project information ,
BibTeX entry ,
and/or more are available.
Some key publications are highlighted by a *.
They include a
book,
my physics and AI ideas I'm most proud of,
my most popular paper,
a rather technical paper,
a patent,
and my first publication.
Maybe you prefer them sorted w.r.t. topic (outdated) or
the DBLP listing (compact)
or in BibTeX format (recommended)
or in Google Scholar.
A Collection of Definitions of Intelligence(with S. Legg)
Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms, 157 (2007) 17-24
[70+ definitions by psychologists, AI researchers, and groups]
A Monte Carlo AIXI Approximation(with J. Veness & K. S. Ng & W. Uther & D. Silver)
Journal of Artificial Intelligence Research, 40 (2011) 95-142
[implementation of Universal AI. AIXI learns to play Poker,Pacman,TicTacToe,...]
Offline to Online Conversion
Proc. 25th International Conf. on Algorithmic Learning Theory (ALT-2013) 230-244
[includes combinatorial derivations of famous estimators including Good-Turing's]
General Time Consistent Discounting(with T. Lattimore)
Theoretical Computer Science, 519 (2014) 140-154
[complete characterization for general discount]
Universal Knowledge-Seeking Agents for Stochastic Environments(with L. Orseau & T. Lattimore)
Proc. 24th International Conf. on Algorithmic Learning Theory (ALT-2013) 158-172
[makes AIXI a truly autonomous agent by coupling rewards to information gain]
Adaptive Context Tree Weighting(with A. O'Neill & W. Shao & P. Sunehag)
Proc. Data Compression Conference (DCC-2012) 317-326
[extension of CTW for non-stationary sources]
Discrete MDL Predicts in Total Variation
Advances in Neural Information Processing Systems 22 (NIPS-2009) 817-825
[completely general non-iid predictive consistency of countable MDL]
The Loss Rank Principle for Model Selection
Proc. 20th Annual Conf. on Learning Theory (COLT-2007) 589-603
[for (non)parametric non-stochastic regression and classification like kNN]
Fitness Uniform Optimization(with S. Legg)
IEEE Transactions on Evolutionary Computation, 10:5 (2006) 568-589
[a simple effective selection scheme with no explicit selection pressure]
Asymptotics of Discrete MDL for Online Prediction(with J. Poland)
IEEE Transactions on Information Theory, 51:11 (2005) 3780-3795
[the Minimal Description Length principle for discrete model classes]