A Philosophical Treatise of Universal Induction

28 May 2011

Marcus Hutter

Papers citing "A Philosophical Treatise of Universal Induction"

41 / 41 papers shown

Title
Understanding Prompt Tuning and In-Context Learning via Meta-Learning Tim Genewein Kevin Wenliang Li Jordi Grau-Moya Anian Ruoss Laurent Orseau Marcus Hutter VPVLM 84 1 0 22 May 2025
In-context learning and Occam's razor Eric Elmoznino Tom Marty Tejas Kasetty Léo Gagnon Sarthak Mittal Mahan Fathi Dhanya Sridhar Guillaume Lajoie 164 1 0 17 Oct 2024
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data David Heurtel-Depeiges Anian Ruoss J. Veness Tim Genewein 210 2 0 07 Oct 2024
Can Language Models Explain Their Own Classification Behavior? Dane Sherburn Bilal Chughtai Owain Evans 64 1 0 13 May 2024
Learning Universal Predictors Jordi Grau-Moya Tim Genewein Marcus Hutter Laurent Orseau Grégoire Delétang ... Anian Ruoss Wenliang Kevin Li Christopher Mattern Matthew Aitchison J. Veness 89 16 0 26 Jan 2024
Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning B. Hamzi Marcus Hutter H. Owhadi 79 3 0 21 Nov 2023
Bias and Error Mitigation in Software-Generated Data: An Advanced Search and Optimization Framework Leveraging Generative Code Models Ernesto Giralt Hernández SyDa 13 0 0 17 Oct 2023
Language Modeling Is Compression Grégoire Delétang Anian Ruoss Paul-Ambroise Duquenne Elliot Catt Tim Genewein ... Wenliang Kevin Li Matthew Aitchison Laurent Orseau Marcus Hutter J. Veness AI4CE 121 146 0 19 Sep 2023
A Circuit Complexity Formulation of Algorithmic Information Theory Cole Wyeth Carl Sturtivant TPM 87 4 0 25 Jun 2023
Deep neural networks have an inbuilt Occam's razor Chris Mingard Henry Rees Guillermo Valle Pérez A. Louis UQCV BDL 78 16 0 13 Apr 2023
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning Micah Goldblum Marc Finzi K. Rowan A. Wilson UQCV FedML 133 43 0 11 Apr 2023
Evaluating Representations with Readout Model Switching Yazhe Li J. Bornschein Marcus Hutter 65 0 0 19 Feb 2023
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies Shivakanth Sujit Pedro H. M. Braga J. Bornschein Samira Ebrahimi Kahou OffRL 72 1 0 15 Dec 2022
Multiclass classification utilising an estimated algorithmic probability prior K. Dingle Pau Batlle H. Owhadi 66 4 0 14 Dec 2022
Sequential Learning Of Neural Networks for Prequential MDL J. Bornschein Yazhe Li Marcus Hutter AI4TS 55 7 0 14 Oct 2022
A Dilemma for Solomonoff Prediction Sven Neth 64 8 0 13 Jun 2022
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lio Marco Gori S. Melacci FAtt XAI 93 80 0 12 Jun 2021
Causal Analysis of Agent Behavior for AI Safety Grégoire Delétang Jordi Grau-Moya Miljan Martic Tim Genewein Tom McGrath Vladimir Mikulik M. Kunesch Shane Legg Pedro A. Ortega CML 76 7 0 05 Mar 2021
Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience -- an initial exploration Daniel C. Elton 67 4 0 16 Dec 2020
The Relativity of Induction Larry Muhlstein DRL 16 0 0 22 Sep 2020
The Minimum Description Length Principle for Pattern Mining: A Survey E. Galbrun AI4TS 80 24 0 28 Jul 2020
Is SGD a Bayesian sampler? Well, almost Chris Mingard Guillermo Valle Pérez Joar Skalse A. Louis BDL 77 53 0 26 Jun 2020
Resolving Spurious Correlations in Causal Models of Environments via Interventions S. Volodin Nevan Wichers Jeremy Nixon CML 68 18 0 12 Feb 2020
On the inherent competition between valid and spurious inductive inferences in Boolean data M. Andrecut CML 13 1 0 06 Jan 2018
Nonparametric General Reinforcement Learning Jan Leike OffRL 105 26 0 28 Nov 2016
Free Lunch for Optimisation under the Universal Distribution Tom Everitt Tor Lattimore Marcus Hutter 48 13 0 16 Aug 2016
On the Computability of AIXI Jan Leike Marcus Hutter 22 9 0 19 Oct 2015
A generalized characterization of algorithmic probability T. Sterkenburg 12 2 0 24 Aug 2015
On the Computability of Solomonoff Induction and Knowledge-Seeking Jan Leike Marcus Hutter 42 11 0 15 Jul 2015
Solomonoff Induction Violates Nicod's Criterion Jan Leike Marcus Hutter 58 4 0 15 Jul 2015
A Minimal Active Inference Agent Simon McGregor Manuel Baltieri Christopher L. Buckley AI4CE FedML 48 10 0 13 Mar 2015
Applications of Algorithmic Probability to the Philosophy of Mind Gabriel Leuenberger 51 2 0 07 Apr 2014
On Nicod's Condition, Rules of Induction and the Raven Paradox H. Afshar P. Sunehag 67 0 0 12 Jul 2013
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence Cameron E. Freer Daniel M. Roy J. Tenenbaum LRM AI4CE 184 24 0 19 Dec 2012
Probabilities on Sentences in an Expressive Logic Marcus Hutter John Lloyd K. S. Ng W. Uther 98 26 0 12 Sep 2012
Can Intelligence Explode? Marcus Hutter ELM 82 29 0 28 Feb 2012
One Decade of Universal Artificial Intelligence Marcus Hutter 74 45 0 28 Feb 2012
Principles of Solomonoff Induction and AIXI P. Sunehag Marcus Hutter 81 11 0 25 Nov 2011
No Free Lunch versus Occam's Razor in Supervised Learning Tor Lattimore Marcus Hutter UQCV FedML 92 44 0 16 Nov 2011
Bayesian Causal Induction Pedro A. Ortega 90 5 0 03 Nov 2011
Diverse Consequences of Algorithmic Probability Eray Ozkural 42 0 0 14 Jul 2011