Teaching a Smarter Learner

By Sally A. Goldman, H. David Mathias. 1996

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Citations in the corpus

Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education (2015, background): “Subsequent theoretical developments can be found in e.g. (Zilles et al. 2011; Balbach and Zeugmann 2009; Angluin 2004; Angluin and Krikis 1997; Goldman and Mathias 1996; Mathias 1997; Balbach and Zeugmann 2006; Balbach 2008; Kobayashi and Shinohara 2009; Angluin and Krikis 2003; Rivest and Yin…”
Recent Developments in Algorithmic Teaching (2009, background): “Jackson and Tomkins [22] as well as Goldman and Mathias [18, 27] defined models of teacher/learner pairs where teachers and learners are constructed explicitly.”
A bibliographical study of grammatical inference (2005, methodology): “Based on teaching models [48,49], de la Higuera proposes the model ofidentification in the limit from polynomial time and data[30].”
Learning from Different Teachers (2003, background): “Several different formal models of teaching have been studied, addressing different aspects of the problem, for example, the work of Goldman and Kearns (1995) and Shinohara and Miyano (1991) on teaching dimension, and the work of Goldman and Mathias (1996) , Jackson and Tomkins (1992), and Mathias ”
The Teaching Dimension of Linear Learners (2015, background): “ Work Teaching dimension as a learning-theoretic quantity has attracted a long history of research. It was proposed independently in [13, 23]. Subsequent theoretical developments can be found in e.g. [26, 7, 2, 3, 14, 18, 6, 5, 17, 4, 22, 9, 12]. Most of them assume little extra knowledge on the lea”
Teacher Improves Learning by Selecting a Training Subset (2018, background): “The theoretical study of machine teaching has focused on the teaching dimension, i.e. the minimum training set size needed to exactly teach a target concept θ ∗ [20, 38, 46, 18, 29, 45, 16, 44, 48, 9, 3, 4, 21, 31, 8, 7, 25, 5, 36, 23, 10].”
Measuring teachability using variants of the teaching dimension (2008, methodology): “Jackson and Tomkins [20] as well as Goldman and Mathias [13] and Mathias [25] defined models similar in spirit for teaching Boolean functions.”
Teaching Randomized Learners (2006, background): “Jackson and Tomkins [12] as well as Goldman and Mathias [10] and Mathias [15] defined models of teacher/learner pairs.”
An Overview of Machine Teaching (2018, background): “There is no generally adopted notion of collusion, see [19, 50] for some examples.”
How Do Humans Teach: On Curriculum Learning and Teaching Dimension (2011, background): “The first thread, developed by the computational learning theory community, is exemplified by the “teaching dimension” model [9] and its extensions [12, 10, 1, 2, 11, 13, 18].”