@techreport{Hutter:02,
        title = {Optimality of Universal Prediction for General Loss and Alphabet},
        address = {Manno (Lugano), CH},
        author = {M. Hutter},
        institution = {Istituto Dalle Molle di Studi sull'Intelligenza Artificiale},
        year = 2002,
        id = {2380917},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/2bff001f45a7af9cbee7f353e1120baf0/schaul},
	keywords = {kolmogorov, prediction, loss, function, algorithmic, juergen, bayesian, theory, complexity, leaning, deterministic, induction, solomonoff, information, universal probability,}
}

@article{Poland:06mdlspeedx,
        title = {{MDL} Convergence Speed for {B}ernoulli Sequences},
        author = {J. Poland and M. Hutter},
        journal = {Statistics and Computing},
        pages = {161--175},
        volume = 16,
        year = 2006,
        url = {http://arxiv.org/abs/math.ST/0602505},
        id = {2382157},
	priority = {2},
	doi = {10.1007/s11222-006-6746-3},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/24bc9b5f1f54192086a2aa79471838476/schaul},
	keywords = {minimum, mdl, rate model, class, prediction, length, convergence, juergen, bernoulli, description, discrete,}
}

@article{Hutter:06unimdlx,
        title = {Sequential Predictions based on Algorithmic Complexity},
        author = {M. Hutter},
        journal = {Journal of Computer and System Sciences},
        pages = {95--117},
        volume = 72,
        year = 2006,
        url = {http://arxiv.org/abs/cs.IT/0508043},
        id = {2382158},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/22034dfb8be6d240168a6f6e0ecde2faf/schaul},
	keywords = {monotone, sequence, juergen, kolmogorov, prior, description, information, algorithmic, minimal, prediction, convergence, length, self-optimizingness, complexity, theory solomonoffs,}
}

@article{Poland:05mdl2px,
        title = {Asymptotics of Discrete MDL for Online Prediction},
        author = {J. Poland and M. Hutter},
        journal = {IEEE Transactions on Information Theory},
        number = 11,
        pages = {3780--3795},
        volume = 51,
        year = 2005,
        url = {http://arxiv.org/abs/cs.IT/0506022},
        id = {2382161},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/2eb2b0c4f73afa2e29cfd7a437db7faba/schaul},
	keywords = {model, stabilization, loss, sequence, information, regression, theory, consistency, algorithmic, class, discrete, induction, minimum, universal classification, description, juergen, length, bounds, prediction,}
}

@inproceedings{Chernov:05postbnd,
        title = {Monotone Conditional Complexity Bounds on Future Prediction Errors},
        address = {Singapore},
        author = {A. Chernov and M. Hutter},
        booktitle = {Proc. 16th International Conf. on Algorithmic Learning Theory ({ALT'05})},
        pages = {414--428},
        publisher = {Springer, Berlin},
        series = {LNAI},
        volume = 3734,
        year = 2005,
        url = {http://arxiv.org/abs/cs.LG/0507041},
        id = {2382162},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/2ad3bed5cce8f450800064b63706a6249/schaul},
	keywords = {prior, total online, bounds, randomness, error, solomonoff, kolmogorov, juergen, conditional, posterior, prediction, complexity, loss, sequential, deficiency, monotone, future,}
}

@inproceedings{Poland:05actexp2,
        title = {Defensive Universal Learning with Experts},
        address = {Singapore},
        author = {J. Poland and M. Hutter},
        booktitle = {Proc. 16th International Conf. on Algorithmic Learning Theory ({ALT'05})},
        pages = {356--370},
        publisher = {Springer, Berlin},
        series = {LNAI},
        volume = 3734,
        year = 2005,
        url = {http://arxiv.org/abs/cs.LG/0507044},
        id = {2382164},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/2531184fd3890d7e5427dcb872759c14c/schaul},
	keywords = {game, advice, learning, with prediction, responsive, observation, bandits, juergen, partial, universal, environments, expert, asymptotic, optimality,}
}

@inproceedings{Poland:05actexp,
        title = {Master Algorithms for Active Experts Problems based on Increasing Loss Values},
        address = {Enschede},
        author = {J. Poland and M. Hutter},
        booktitle = {Annual Machine Learning Conference of Belgium and the Netherlands ({Benelearn-2005})},
        year = 2005,
        url = {http://arxiv.org/abs/cs.LG/0502067},
        id = {2382165},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/231e4b24c93ce3fccb525fb4f49ca92ce/schaul},
	keywords = {expert, partial, with universal, bandits, environments, responsive, advice, juergen, asymptotic, prediction, optimality, game, learning, observation,}
}

@inproceedings{Poland:05mdlreg,
        title = {Strong Asymptotic Assertions for Discrete {MDL} in Regression and Classification},
        address = {Enschede},
        author = {J. Poland and M. Hutter},
        booktitle = {Annual Machine Learning Conference of Belgium and the Netherlands ({Benelearn-2005})},
        year = 2005,
        url = {http://arxiv.org/abs/math.ST/0502315},
        id = {2382166},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/28319bdd4f41d45232efb7965421e9f9b/schaul},
	keywords = {bayes, minimum, classes, marginalization, description, regression, juergen, sequence learning, mixture, prediction, classification, discrete, machine, length, model, convergence,}
}

@article{Hutter:05expertx,
        title = {Adaptive Online Prediction by Following the Perturbed Leader},
        author = {M. Hutter and J. Poland},
        journal = {Journal of Machine Learning Research},
        pages = {639--660},
        publisher = {Microtome},
        volume = 6,
        year = 2005,
        url = {http://arxiv.org/abs/cs.AI/0504078},
        id = {2382167},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/2a6f77b57f9dd6af428692b40ecc13a73/schaul},
	keywords = {expected, and, loss, experts, bounds, sequential, prediction, hierarchy, online, advice, adaptive, perturbed, of, general, alphabet, juergen, weights, probability, the, adversary, with follow, rate, high, learning, expert, leader,}
}

@article{Hutter:05unipriorx,
        title = {On Generalized Computable Universal Priors and their Convergence},
        author = {M. Hutter},
        journal = {Theoretical Computer Science},
        year = 2005,
        url = {http://arxiv.org/abs/cs.LG/0503026},
        id = {2382169},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/2f02ccc4a785f11b569dbd098e189c91e/schaul},
	keywords = {prediction, juergen, theory, information, solomonoffs, concepts, prior, computability, martin-loef, algorithmic, randomness, distributions, convergence, posterior, mixture, probability, sequence, universal}
}

@inproceedings{Hutter:04mlconvx,
        title = {Universal Convergence of Semimeasures on Individual Random Sequences},
        address = {Padova},
        author = {M. Hutter and  An},
        booktitle = {Proc. 15th International Conf. on Algorithmic Learning Theory ({ALT'04})},
        pages = {234--248},
        publisher = {Springer, Berlin},
        series = {LNAI},
        volume = 3244,
        year = 2004,
        url = {http://arxiv.org/abs/cs.LG/0407057},
        id = {2382171},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/22205881d024c913a7d4ea58ec9b3d196/schaul},
	keywords = {information, posterior, randomness, distributions, quasimeasures, universal martin-lof, algorithmic, convergence, juergen, mixture, prediction, enumerable, theory, semimeasure, sequence,}
}

@inproceedings{Hutter:04expert,
        title = {Prediction with Expert Advice by Following the Perturbed Leader for General Weights},
        address = {Padova},
        author = {M. Hutter and J. Poland},
        booktitle = {Proc. 15th International Conf. on Algorithmic Learning Theory ({ALT'04})},
        pages = {279--293},
        publisher = {Springer, Berlin},
        series = {LNAI},
        volume = 3244,
        year = 2004,
        url = {http://arxiv.org/abs/cs.LG/0405043},
        id = {2382172},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/2b9394ee75dd5db37341b62745634de89/schaul},
	keywords = {adaptive, follow, bounds, leader, weights, perturbed, probability, loss, and, prediction, alphabet, sequential, of, experts, expert, expected, learning, hierarchy, high, the, with online, general, advice, juergen, rate,}
}

@inproceedings{Poland:04mdlspeed,
        title = {On the convergence speed of {MDL} predictions for {B}ernoulli sequences},
        address = {Padova},
        author = {J. Poland and M. Hutter},
        booktitle = {Proc. 15th International Conf. on Algorithmic Learning Theory ({ALT'04})},
        pages = {294--308},
        publisher = {Springer, Berlin},
        series = {LNAI},
        volume = 3244,
        year = 2004,
        url = {http://arxiv.org/abs/cs.LG/0407039},
        id = {2382173},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/29781b99433f5d858f42ed67d3f4eacd2/schaul},
	keywords = {rate mdl, class, prediction, juergen, discrete, bernoulli, model, length, minimum, description, convergence,}
}

@inproceedings{Poland:04mdl2p,
        title = {Convergence of Discrete {MDL} for Sequential Prediction},
        address = {Banff},
        author = {J. Poland and M. Hutter},
        booktitle = {Proc. 17th Annual Conf. on Learning Theory ({COLT'04})},
        pages = {300--314},
        publisher = {Springer, Berlin},
        series = {LNAI},
        volume = 3120,
        year = 2004,
        url = {http://arxiv.org/abs/cs.LG/0404057},
        id = {2382174},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/29903cf7b0b98332f663bf1ba1d615806/schaul},
	keywords = {algorithmic, induction, classes, convergence, sequence, stabilization, discrete, information, juergen, prediction, theory, length, description, model, universal minimum,}
}

@inproceedings{Hutter:03unimdl,
        title = {Sequence Prediction based on Monotone Complexity},
        address = {Washington, DC},
        author = {M. Hutter},
        booktitle = {Proc. 16th Annual Conf. on Learning Theory ({COLT'03})},
        pages = {506--521},
        publisher = {Springer, Berlin},
        series = {LNAI},
        volume = 2777,
        year = 2003,
        url = {http://arxiv.org/abs/cs.AI/0306036},
        id = {2382176},
	priority = {2},
	description = {idsia},
	biburl = {http://www.bibsonomy.org/bibtex/2144bbb46927ee62c450a1b8424027265/schaul},
	keywords = {prediction, prior, length, information, complexity, theory algorithmic, description, convergence, self-optimizingness, sequence, kolmogorov, monotone, juergen, minimal, solomonoffs,}
}