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12/24/2022
A Labelled Sample Compression Scheme of Size at Most Quadratic in the VC Dimension
This paper presents a construction of a proper and stable labelled sampl...
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06/20/2022
Actively Learning Deep Neural Networks with Uncertainty Sampling Based on Sum-Product Networks
Active learning is popular approach for reducing the amount of data in t...
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11/10/2020
Inferring Symbolic Automata
We study the learnability of symbolic finite state automata, a model sho...
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03/10/2019
Optimal Collusion-Free Teaching
Formal models of learning from teachers need to respect certain criteria...
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01/18/2018
An Overview of Machine Teaching
In this paper we try to organize machine teaching as a coherent set of i...
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01/11/2018
Interactive Learning of Acyclic Conditional Preference Networks
Learning of user preferences, as represented by, for example, Conditiona...
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11/14/2017
An Empirical Study of the Effects of Spurious Transitions on Abstraction-based Heuristics
The efficient solution of state space search problems is often attempted...
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07/24/2016