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09/20/2023
Automatic Bat Call Classification using Transformer Networks
Automatically identifying bat species from their echolocation calls is a...
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11/14/2022
Hierarchically Structured Task-Agnostic Continual Learning
One notable weakness of current machine learning algorithms is the poor ...
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06/29/2022
On the relation of order theory and computation in terms of denumerability
Computability on uncountable sets has no standard formalization, unlike ...
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06/28/2022
Computation as uncertainty reduction: a simplified order-theoretic framework
Although there is a somewhat standard formalization of computability on ...
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03/30/2022
On a geometrical notion of dimension for partially ordered sets
The well-known notion of dimension for partial orders by Dushnik and Mil...
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02/24/2022
Classification of preordered spaces in terms of monotones – Filling in the gaps
Following the recent introduction of new classes of monotones, like inje...
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10/25/2021
Mixture-of-Variational-Experts for Continual Learning
One significant shortcoming of machine learning is the poor ability of m...
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07/30/2021
Representing Pareto optima in preordered spaces: from Shannon entropy to injective monotones
Shannon entropy is the most widely used measure of uncertainty. It is us...
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11/30/2020
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts
In many real-world pattern recognition scenarios, such as in medical app...
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11/03/2020
Specialization in Hierarchical Learning Systems
Joining multiple decision-makers together is a powerful way to obtain mo...
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04/24/2020
The Two Kinds of Free Energy and the Bayesian Revolution
The concept of free energy has its origins in 19th century thermodynamic...
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10/31/2019
Hierarchical Expert Networks for Meta-Learning
The goal of meta-learning is to train a model on a variety of learning t...
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07/26/2019
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems
Information-theoretic bounded rationality describes utility-optimizing d...
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04/08/2019
Bounded rational decision-making from elementary computations that reduce uncertainty
In its most basic form, decision-making can be viewed as a computational...
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09/16/2018
Systems of bounded rational agents with information-theoretic constraints
Specialization and hierarchical organization are important features of e...
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09/04/2018
Bounded Rational Decision-Making with Adaptive Neural Network Priors
Bounded rationality investigates utility-optimizing decision-makers with...
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04/16/2018
An information-theoretic on-line update principle for perception-action coupling
Inspired by findings of sensorimotor coupling in humans and animals, the...
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04/07/2016
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes
Information-theoretic principles for learning and acting have been propo...
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12/21/2015
Information-Theoretic Bounded Rationality
Bounded rationality, that is, decision-making and planning under resourc...
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11/05/2015
Adaptive information-theoretic bounded rational decision-making with parametric priors
Deviations from rational decision-making due to limited computational re...
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12/24/2013
Bounded Rational Decision-Making in Changing Environments
A perfectly rational decision-maker chooses the best action with the hig...
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12/16/2013
Abstraction in decision-makers with limited information processing capabilities
A distinctive property of human and animal intelligence is the ability t...
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03/18/2013
Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
Recently, it has been shown how sampling actions from the predictive dis...
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06/09/2012
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
We propose a novel Bayesian approach to solve stochastic optimization pr...
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05/17/2012
Free Energy and the Generalized Optimality Equations for Sequential Decision Making
The free energy functional has recently been proposed as a variational p...
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07/28/2011
Information, Utility & Bounded Rationality
Perfectly rational decision-makers maximize expected utility, but crucia...
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02/16/2010
Convergence of Bayesian Control Rule
Recently, new approaches to adaptive control have sought to reformulate ...
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02/07/2010
A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes
Adaptive control problems are notoriously difficult to solve even in the...
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11/26/2009
A conversion between utility and information
Rewards typically express desirabilities or preferences over a set of al...
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11/26/2009