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Marcus Hutter
2010 – today
- 2013
[j34]Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann: Guest Editors' foreword. Theor. Comput. Sci. 473: 1-3 (2013)
[c58]
[c57]Laurent Orseau, Tor Lattimore, Marcus Hutter: Universal Knowledge-Seeking Agents for Stochastic Environments. ALT 2013: 158-172
[c56]Tor Lattimore, Marcus Hutter, Peter Sunehag: Concentration and Confidence for Discrete Bayesian Sequence Predictors. ALT 2013: 324-338
[c55]
[i96]
[i95]Tor Lattimore, Marcus Hutter, Peter Sunehag: Concentration and Confidence for Discrete Bayesian Sequence Predictors. CoRR abs/1307.0127 (2013)
[i94]Tor Lattimore, Marcus Hutter, Peter Sunehag: The Sample-Complexity of General Reinforcement Learning. CoRR abs/1308.4828 (2013)- 2012
[c54]
[c53]Di Yang, Stephen Gould, Marcus Hutter: A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation. ACCV (1) 2012: 775-789
[c52]
[c51]Joel Veness, Peter Sunehag, Marcus Hutter: On Ensemble Techniques for AIXI Approximation. AGI 2012: 341-351
[c50]
[c49]Peter Sunehag, Marcus Hutter: Optimistic Agents Are Asymptotically Optimal. Australasian Conference on Artificial Intelligence 2012: 15-26
[c48]Alexander O'Neill, Marcus Hutter, Wen Shao, Peter Sunehag: Adaptive Context Tree Weighting. DCC 2012: 317-326
[c47]Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling: Context Tree Switching. DCC 2012: 327-336
[e4]Scott Sanner, Marcus Hutter (Eds.): Recent Advances in Reinforcement Learning - 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7188, Springer 2012, ISBN 978-3-642-29945-2
[i93]Alexander O'Neill, Marcus Hutter, Wen Shao, Peter Sunehag: Adaptive Context Tree Weighting. CoRR abs/1201.2056 (2012)
[i92]Srimal Jayawardena, Di Yang, Marcus Hutter: 3D Model Assisted Image Segmentation. CoRR abs/1202.1943 (2012)
[i91]
[i90]
[i89]
[i88]
[i87]Marcus Hutter, John W. Lloyd, Kee Siong Ng, William T. B. Uther: Probabilities on Sentences in an Expressive Logic. CoRR abs/1209.2620 (2012)
[i86]Peter Sunehag, Marcus Hutter: Optimistic Agents are Asymptotically Optimal. CoRR abs/1210.0077 (2012)- 2011
[j33]Samuel Rathmanner, Marcus Hutter: A Philosophical Treatise of Universal Induction. Entropy 13(6): 1076-1136 (2011)
[j32]Joel Veness, Kee Siong Ng, Marcus Hutter, William T. B. Uther, David Silver: A Monte-Carlo AIXI Approximation. J. Artif. Intell. Res. (JAIR) 40: 95-142 (2011)
[c46]Tor Lattimore, Marcus Hutter, Vaibhav Gavane: Universal Prediction of Selected Bits. ALT 2011: 262-276
[c45]
[c44]
[c43]
[c42]Srimal Jayawardena, Marcus Hutter, Nathan Brewer: A Novel Illumination-Invariant Loss for Monocular 3D Pose Estimation. DICTA 2011: 37-44
[c41]
[c40]Phuong Minh Nguyen, Peter Sunehag, Marcus Hutter: Feature Reinforcement Learning in Practice. EWRL 2011: 66-77
[i85]
[i84]Marcus Hutter: Algorithmic Randomness as Foundation of Inductive Reasoning and Artificial Intelligence. CoRR abs/1102.2468 (2011)
[i83]Samuel Rathmanner, Marcus Hutter: A Philosophical Treatise of Universal Induction. CoRR abs/1105.5721 (2011)
[i82]
[i81]
[i80]Tor Lattimore, Marcus Hutter, Vaibhav Gavane: Universal Prediction of Selected Bits. CoRR abs/1107.5531 (2011)
[i79]
[i78]Phuong Minh Nguyen, Peter Sunehag, Marcus Hutter: Feature Reinforcement Learning In Practice. CoRR abs/1108.3614 (2011)
[i77]Joel Veness, Kee Siong Ng, Marcus Hutter, Michael H. Bowling: Context Tree Switching. CoRR abs/1111.3182 (2011)
[i76]Tor Lattimore, Marcus Hutter: No Free Lunch versus Occam's Razor in Supervised Learning. CoRR abs/1111.3846 (2011)
[i75]Ian Wood, Peter Sunehag, Marcus Hutter: (Non-)Equivalence of Universal Priors. CoRR abs/1111.3854 (2011)
[i74]Peter Sunehag, Marcus Hutter: Principles of Solomonoff Induction and AIXI. CoRR abs/1111.6117 (2011)- 2010
[j31]Ben Goertzel, Marcus Hutter: Report on the Third Conference on Artificial General Intelligence. AI Magazine 31(3): 123-124 (2010)
[j30]Marcus Hutter: A Complete Theory of Everything (Will Be Subjective). Algorithms 3(4): 329-350 (2010)
[j29]Paola M. V. Rancoita, Marcus Hutter, Francesco Bertoni, Ivo Kwee: An integrated Bayesian analysis of LOH and copy number data. BMC Bioinformatics 11: 321 (2010)
[j28]Marcus Hutter, Minh-Ngoc Tran: Model selection with the Loss Rank Principle. Computational Statistics & Data Analysis 54(5): 1288-1306 (2010)
[c39]Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver: Reinforcement Learning via AIXI Approximation. AAAI 2010
[c38]
[c37]
[e3]Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann (Eds.): Algorithmic Learning Theory, 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings. Lecture Notes in Computer Science 6331, Springer 2010, ISBN 978-3-642-16107-0
[r1]
[i73]Marcus Hutter, Minh-Ngoc Tran: Model Selection with the Loss Rank Principle. CoRR abs/1003.0516 (2010)
[i72]Wray L. Buntine, Marcus Hutter: A Bayesian Review of the Poisson-Dirichlet Process. CoRR abs/1007.0296 (2010)
[i71]Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver: Reinforcement Learning via AIXI Approximation. CoRR abs/1007.2049 (2010)
[i70]
[i69]Srimal Jayawardena, Marcus Hutter, Nathan Brewer: Featureless 2D-3D Pose Estimation by Minimising an Illumination-Invariant Loss. CoRR abs/1011.1035 (2010)
2000 – 2009
- 2009
[j27]
[j26]Paola M. V. Rancoita, Marcus Hutter, Francesco Bertoni, Ivo Kwee: Bayesian DNA copy number analysis. BMC Bioinformatics 10 (2009)
[j25]Marcus Hutter: Practical robust estimators for the imprecise Dirichlet model. Int. J. Approx. Reasoning 50(2): 231-242 (2009)
[j24]Alberto Piatti, Marco Zaffalon, Fabio Trojani, Marcus Hutter: Limits of learning about a categorical latent variable under prior near-ignorance. Int. J. Approx. Reasoning 50(4): 597-611 (2009)
[j23]
[c36]Paola M. V. Rancoita, Marcus Hutter, Francesco Bertoni, Ivo Kwee: Bayesian Joint Estimation of CN and LOH Aberrations. IWANN (2) 2009: 1109-1117
[c35]
[c34]Ke Zhang, Marcus Hutter, Huidong Jin: A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. PAKDD 2009: 813-822
[i68]Ke Zhang, Marcus Hutter, Huidong Jin: A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. CoRR abs/0903.3257 (2009)
[i67]Alberto Piatti, Marco Zaffalon, Fabio Trojani, Marcus Hutter: Limits of Learning about a Categorical Latent Variable under Prior Near-Ignorance. CoRR abs/0904.4527 (2009)
[i66]
[i65]
[i64]Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver: A Monte Carlo AIXI Approximation. CoRR abs/0909.0801 (2009)
[i63]Marcus Hutter, Nathan Brewer: Matching 2-D Ellipses to 3-D Circles with Application to Vehicle Pose Estimation. CoRR abs/0912.3589 (2009)
[i62]- 2008
[j22]Daniil Ryabko, Marcus Hutter: Predicting non-stationary processes. Appl. Math. Lett. 21(5): 477-482 (2008)
[j21]
[j20]Daniil Ryabko, Marcus Hutter: On the possibility of learning in reactive environments with arbitrary dependence. Theor. Comput. Sci. 405(3): 274-284 (2008)
[c33]Kassel Hingee, Marcus Hutter: Equivalence of probabilistic tournament and polynomial ranking selection. IEEE Congress on Evolutionary Computation 2008: 564-571
[i61]Kassel Hingee, Marcus Hutter: Equivalence of Probabilistic Tournament and Polynomial Ranking Selection. CoRR abs/0803.2925 (2008)
[i60]
[i59]Marcus Hutter, Shane Legg: Temporal Difference Updating without a Learning Rate. CoRR abs/0810.5631 (2008)
[i58]Daniil Ryabko, Marcus Hutter: On the Possibility of Learning in Reactive Environments with Arbitrary Dependence. CoRR abs/0810.5636 (2008)
[i57]
[i56]- 2007
[j19]Alexey V. Chernov, Marcus Hutter, Jürgen Schmidhuber: Algorithmic complexity bounds on future prediction errors. Inf. Comput. 205(2): 242-261 (2007)
[j18]Shane Legg, Marcus Hutter: Universal Intelligence: A Definition of Machine Intelligence. Minds and Machines 17(4): 391-444 (2007)
[j17]
[j16]Marcus Hutter, Shane Legg, Paul M. B. Vitányi: Algorithmic probability. Scholarpedia 2(8): 2572 (2007)
[j15]Marcus Hutter, Andrej Muchnik: On semimeasures predicting Martin-Löf random sequences. Theor. Comput. Sci. 382(3): 247-261 (2007)
[j14]Marcus Hutter: On universal prediction and Bayesian confirmation. Theor. Comput. Sci. 384(1): 33-48 (2007)
[c32]
[c31]
[c30]
[p1]Marcus Hutter: Universal Algorithmic Intelligence: A Mathematical Top→Down Approach. Artificial General Intelligence 2007: 227-290
[e2]Marcus Hutter, Rocco A. Servedio, Eiji Takimoto (Eds.): Algorithmic Learning Theory, 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings. Lecture Notes in Computer Science 4754, Springer 2007, ISBN 978-3-540-75224-0
[i55]
[i54]Marcus Hutter, Andrej Muchnik: On Semimeasures Predicting Martin-Loef Random Sequences. CoRR abs/0708.2319 (2007)
[i53]
[i52]Shane Legg, Marcus Hutter: Universal Intelligence: A Definition of Machine Intelligence. CoRR abs/0712.3329 (2007)
[i51]
[i50]Alexey V. Chernov, Marcus Hutter, Jürgen Schmidhuber: Algorithmic Complexity Bounds on Future Prediction Errors. CoRR abs/cs/0701120 (2007)
[i49]Marcus Hutter: Universal Algorithmic Intelligence: A mathematical top->down approach. CoRR abs/cs/0701125 (2007)
[i48]Marcus Hutter: Algorithmic Information Theory: a brief non-technical guide to the field. CoRR abs/cs/0703024 (2007)
[i47]- 2006
[j13]Monaldo Mastrolilli, Marcus Hutter: Hybrid rounding techniques for knapsack problems. Discrete Applied Mathematics 154(4): 640-649 (2006)
[j12]Marcus Hutter: Sequential predictions based on algorithmic complexity. J. Comput. Syst. Sci. 72(1): 95-117 (2006)
[j11]Jan Poland, Marcus Hutter: MDL convergence speed for Bernoulli sequences. Statistics and Computing 16(2): 161-175 (2006)
[j10]Marcus Hutter: On generalized computable universal priors and their convergence. Theor. Comput. Sci. 364(1): 27-41 (2006)
[j9]Marcus Hutter, Shane Legg: Fitness uniform optimization. IEEE Trans. Evolutionary Computation 10(5): 568-589 (2006)
[c29]Shane Legg, Marcus Hutter: Tests of Machine Intelligence. 50 Years of Artificial Intelligence 2006: 232-242
[c28]
[c27]Daniil Ryabko, Marcus Hutter: Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence. ALT 2006: 334-347
[c26]Alexey V. Chernov, Marcus Hutter, Jürgen Schmidhuber: Complexity Monotone in Conditions and Future Prediction Errors. Kolmogorov Complexity and Applications 2006
[c25]Marcus Hutter, Wolfgang Merkle, Paul M. B. Vitányi: 06051 Abstracts Collection -- Kolmogorov Complexity and Applications. Kolmogorov Complexity and Applications 2006
[c24]Daniil Ryabko, Marcus Hutter: Sequence prediction for non-stationary processes. Combinatorial and Algorithmic Foundations of Pattern and Association Discovery 2006
[c23]Daniil Ryabko, Marcus Hutter: Learning in Reactive Environments with Arbitrary Dependence. Kolmogorov Complexity and Applications 2006
[c22]Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber: Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. IAS 2006: 272-281
[c21]
[e1]Marcus Hutter, Wolfgang Merkle, Paul M. B. Vitányi (Eds.): Kolmogorov Complexity and Applications, 29.01. - 03.02.2006. Dagstuhl Seminar Proceedings 06051, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2006
[i46]Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber: Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. CoRR abs/cs/0603023 (2006)
[i45]Daniil Ryabko, Marcus Hutter: Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence. CoRR abs/cs/0603110 (2006)
[i44]
[i43]
[i42]
[i41]Daniil Ryabko, Marcus Hutter: On Sequence Prediction for Arbitrary Measures. CoRR abs/cs/0606077 (2006)
[i40]
[i39]Jan Poland, Marcus Hutter: MDL Convergence Speed for Bernoulli Sequences. CoRR abs/math/0602505 (2006)
[i38]- 2005
[j8]Marco Zaffalon, Marcus Hutter: Robust inference of trees. Ann. Math. Artif. Intell. 45(1-2): 215-239 (2005)
[j7]Marcus Hutter, Marco Zaffalon: Distribution of mutual information from complete and incomplete data. Computational Statistics & Data Analysis 48(3): 633-657 (2005)
[j6]Marcus Hutter, Jan Poland: Adaptive Online Prediction by Following the Perturbed Leader. Journal of Machine Learning Research 6: 639-660 (2005)
[j5]Jan Poland, Marcus Hutter: Asymptotics of discrete MDL for online prediction. IEEE Transactions on Information Theory 51(11): 3780-3795 (2005)
[c20]
[c19]Alexey V. Chernov, Marcus Hutter: Monotone Conditional Complexity Bounds on Future Prediction Errors. ALT 2005: 414-428
[c18]Shane Legg, Marcus Hutter: Fitness uniform deletion: a simple way to preserve diversity. GECCO 2005: 1271-1278
[c17]Shane Legg, Marcus Hutter: A Universal Measure of Intelligence for Artificial Agents. IJCAI 2005: 1509-1510
[i37]Jan Poland, Marcus Hutter: Master Algorithms for Active Experts Problems based on Increasing Loss Values. CoRR abs/cs/0502067 (2005)
[i36]Marcus Hutter: On Generalized Computable Universal Priors and their Convergence. CoRR abs/cs/0503026 (2005)
[i35]Shane Legg, Marcus Hutter: Fitness Uniform Deletion: A Simple Way to Preserve Diversity. CoRR abs/cs/0504035 (2005)
[i34]Marcus Hutter, Jan Poland: Adaptive Online Prediction by Following the Perturbed Leader. CoRR abs/cs/0504078 (2005)
[i33]Jan Poland, Marcus Hutter: Asymptotics of Discrete MDL for Online Prediction. CoRR abs/cs/0506022 (2005)
[i32]Alexey V. Chernov, Marcus Hutter: Monotone Conditional Complexity Bounds on Future Prediction Errors. CoRR abs/cs/0507041 (2005)
[i31]
[i30]
[i29]
[i28]
[i27]Jan Poland, Marcus Hutter: Strong Asymptotic Assertions for Discrete MDL in Regression and Classification. CoRR abs/math/0502315 (2005)- 2004
[c16]Marcus Hutter, Andrej Muchnik: Universal Convergence of Semimeasures on Individual Random Sequences. ALT 2004: 234-248
[c15]Marcus Hutter, Jan Poland: Prediction with Expert Advice by Following the Perturbed Leader for General Weights. ALT 2004: 279-293
[c14]Jan Poland, Marcus Hutter: On the Convergence Speed of MDL Predictions for Bernoulli Sequences. ALT 2004: 294-308
[c13]Jan Poland, Marcus Hutter: Convergence of Discrete MDL for Sequential Prediction. COLT 2004: 300-314
[i26]Marcus Hutter, Marco Zaffalon: Distribution of Mutual Information from Complete and Incomplete Data. CoRR cs.LG/0403025 (2004)
[i25]Shane Legg, Marcus Hutter, Akshat Kumar: Tournament versus Fitness Uniform Selection. CoRR cs.LG/0403038 (2004)
[i24]Jan Poland, Marcus Hutter: Convergence of Discrete MDL for Sequential Prediction. CoRR cs.LG/0404057 (2004)
[i23]Marcus Hutter, Jan Poland: Prediction with Expert Advice by Following the Perturbed Leader for General Weights. CoRR cs.LG/0405043 (2004)
[i22]Jan Poland, Marcus Hutter: On the Convergence Speed of MDL Predictions for Bernoulli Sequences. CoRR cs.LG/0407039 (2004)
[i21]Marcus Hutter, Andrej Muchnik: Universal Convergence of Semimeasures on Individual Random Sequences. CoRR cs.LG/0407057 (2004)- 2003
[j4]Marcus Hutter: Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet. Journal of Machine Learning Research 4: 971-1000 (2003)
[j3]Marcus Hutter: Convergence and loss bounds for Bayesian sequence prediction. IEEE Transactions on Information Theory 49(8): 2061-2067 (2003)
[c12]
[c11]
[c10]Marcus Hutter: An Open Problem Regarding the Convergence of Universal A Priori Probability. COLT 2003: 738-740
[c9]
[c8]Marcus Hutter, Marco Zaffalon: Bayesian Treatment of Incomplete Discrete Data Applied to Mutual Information and Feature Selection. KI 2003: 396-406
[i20]
[i19]Marcus Hutter: Optimal Sequential Decisions based on Algorithmic Probability. CoRR cs.AI/0306091 (2003)
[i18]Monaldo Mastrolilli, Marcus Hutter: Hybrid Rounding Techniques for Knapsack Problems. CoRR cs.CC/0305002 (2003)
[i17]Marcus Hutter: Convergence and Loss Bounds for Bayesian Sequence Prediction. CoRR cs.LG/0301014 (2003)
[i16]Marcus Hutter: On the Existence and Convergence Computable Universal Priors. CoRR cs.LG/0305052 (2003)
[i15]Marcus Hutter, Marco Zaffalon: Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection. CoRR cs.LG/0306126 (2003)
[i14]Marcus Hutter: Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet. CoRR cs.LG/0311014 (2003)- 2002
[j2]Marcus Hutter: The Fastest and Shortest Algorithm for all Well-Defined Problems. Int. J. Found. Comput. Sci. 13(3): 431-443 (2002)
[c7]Marcus Hutter: Self-Optimizing and Pareto-Optimal Policies in General Environments Based on Bayes-Mixtures. COLT 2002: 364-379
[c6]Marco Zaffalon, Marcus Hutter: Robust Feature Selection by Mutual Information Distributions. UAI 2002: 577-584
[i13]Marcus Hutter: Self-Optimizing and Pareto-Optimal Policies in General Environments based on Bayes-Mixtures. CoRR cs.AI/0204040 (2002)
[i12]Marco Zaffalon, Marcus Hutter: Robust Feature Selection by Mutual Information Distributions. CoRR cs.AI/0206006 (2002)
[i11]Marcus Hutter: The Fastest and Shortest Algorithm for All Well-Defined Problems. CoRR cs.CC/0206022 (2002)- 2001
[j1]Marcus Hutter: New Error Bounds for Solomonoff Prediction. J. Comput. Syst. Sci. 62(4): 653-667 (2001)
[c5]Marcus Hutter: Towards a Universal Theory of Artificial Intelligence Based on Algorithmic Probability and Sequential Decisions. ECML 2001: 226-238
[c4]Marcus Hutter: Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences. ECML 2001: 239-250
[c3]Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber: Market-Based Reinforcement Learning in Partially Observable Worlds. ICANN 2001: 865-873
[c2]
[c1]
[i10]
[i9]
[i8]Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber: Market-Based Reinforcement Learning in Partially Observable Worlds. CoRR cs.AI/0105025 (2001)
[i7]Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber: Gradient-based Reinforcement Planning in Policy-Search Methods. CoRR cs.AI/0111060 (2001)
[i6]
[i5]
[i4]Marcus Hutter: Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences. CoRR cs.LG/0106036 (2001)- 2000
[i3]Marcus Hutter: A Theory of Universal Artificial Intelligence based on Algorithmic Complexity. CoRR cs.AI/0004001 (2000)
[i2]Marcus Hutter: Towards a Universal Theory of Artificial Intelligence based on Algorithmic Probability and Sequential Decision Theory. CoRR cs.AI/0012011 (2000)
1990 – 1999
- 1999
[i1]
Coauthor Index
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last updated on 2013-10-02 11:16 CEST by the dblp team



