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1105.5721
Cited By
A Philosophical Treatise of Universal Induction
28 May 2011
Samuel Rathmanner
Marcus Hutter
AI4CE
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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
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