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A Philosophical Treatise of Universal Induction

A Philosophical Treatise of Universal Induction

28 May 2011
Samuel Rathmanner
Marcus Hutter
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "A Philosophical Treatise of Universal Induction"

41 / 41 papers shown
Title
Understanding Prompt Tuning and In-Context Learning via Meta-Learning
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
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
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?
Can Language Models Explain Their Own Classification Behavior?
Dane Sherburn
Bilal Chughtai
Owain Evans
64
1
0
13 May 2024
Learning Universal Predictors
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
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
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
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
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
Deep neural networks have an inbuilt Occam's razor
Chris Mingard
Henry Rees
Guillermo Valle Pérez
A. Louis
UQCVBDL
78
16
0
13 Apr 2023
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of
  Inductive Biases in Machine Learning
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
Micah Goldblum
Marc Finzi
K. Rowan
A. Wilson
UQCVFedML
133
43
0
11 Apr 2023
Evaluating Representations with Readout Model Switching
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
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
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
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
A Dilemma for Solomonoff Prediction
Sven Neth
64
8
0
13 Jun 2022
Entropy-based Logic Explanations of Neural Networks
Entropy-based Logic Explanations of Neural Networks
Pietro Barbiero
Gabriele Ciravegna
Francesco Giannini
Pietro Lio
Marco Gori
S. Melacci
FAttXAI
93
80
0
12 Jun 2021
Causal Analysis of Agent Behavior for AI Safety
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
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
The Relativity of Induction
Larry Muhlstein
DRL
16
0
0
22 Sep 2020
The Minimum Description Length Principle for Pattern Mining: A Survey
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
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
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
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
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
105
26
0
28 Nov 2016
Free Lunch for Optimisation under the Universal Distribution
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
On the Computability of AIXI
Jan Leike
Marcus Hutter
22
9
0
19 Oct 2015
A generalized characterization of algorithmic probability
A generalized characterization of algorithmic probability
T. Sterkenburg
12
2
0
24 Aug 2015
On the Computability of Solomonoff Induction and Knowledge-Seeking
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
Solomonoff Induction Violates Nicod's Criterion
Jan Leike
Marcus Hutter
58
4
0
15 Jul 2015
A Minimal Active Inference Agent
A Minimal Active Inference Agent
Simon McGregor
Manuel Baltieri
Christopher L. Buckley
AI4CEFedML
48
10
0
13 Mar 2015
Applications of Algorithmic Probability to the Philosophy of Mind
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
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
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence
Cameron E. Freer
Daniel M. Roy
J. Tenenbaum
LRMAI4CE
184
24
0
19 Dec 2012
Probabilities on Sentences in an Expressive Logic
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?
Can Intelligence Explode?
Marcus Hutter
ELM
82
29
0
28 Feb 2012
One Decade of Universal Artificial Intelligence
One Decade of Universal Artificial Intelligence
Marcus Hutter
77
45
0
28 Feb 2012
Principles of Solomonoff Induction and AIXI
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
No Free Lunch versus Occam's Razor in Supervised Learning
Tor Lattimore
Marcus Hutter
UQCVFedML
92
44
0
16 Nov 2011
Bayesian Causal Induction
Bayesian Causal Induction
Pedro A. Ortega
90
5
0
03 Nov 2011
Diverse Consequences of Algorithmic Probability
Diverse Consequences of Algorithmic Probability
Eray Ozkural
42
0
0
14 Jul 2011
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