Iterative Classroom Teaching

@inproceedings{Yeo2019IterativeCT,
  title={Iterative Classroom Teaching},
  author={Teresa Yeo and P. Kamalaruban and A. Singla and A. Merchant and Thibault Asselborn and Louis Faucon and P. Dillenbourg and V. Cevher},
  booktitle={AAAI},
  year={2019}
}
  • Teresa Yeo, P. Kamalaruban, +5 authors V. Cevher
  • Published in AAAI 2019
  • Computer Science, Mathematics
  • We consider the machine teaching problem in a classroom-like setting wherein the teacher has to deliver the same examples to a diverse group of students. [...] Key Method We prove that a teacher with full knowledge about the learning dynamics of the students can teach a target concept to the entire classroom using O(min{d,N} log(1/eps)) examples, where d is the ambient dimension of the problem, N is the number of learners, and eps is the accuracy parameter. We show the robustness of our teaching strategy when…Expand Abstract
    7 Citations
    Teaching Multiple Concepts to a Forgetful Learner
    • 11
    • PDF
    Teaching Multiple Concepts to Forgetful Learners
    • 2
    Class Teaching for Inverse Reinforcement Learners
    • Highly Influenced
    • PDF
    Interactive Teaching Algorithms for Inverse Reinforcement Learning
    • 24
    • PDF
    Crowd Teaching with Imperfect Labels
    • 1

    References

    SHOWING 1-10 OF 42 REFERENCES
    No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously
    • 9
    • PDF
    Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
    • 25
    • PDF
    Teaching Multiple Concepts to a Forgetful Learner
    • 11
    • PDF
    Models of Cooperative Teaching and Learning
    • 76
    • PDF
    Iterative Machine Teaching
    • 64
    • Highly Influential
    • PDF
    Near-Optimally Teaching the Crowd to Classify
    • 83
    • PDF
    Teaching Inverse Reinforcement Learners via Features and Demonstrations
    • 24
    • PDF
    Faster Teaching via POMDP Planning
    • 50
    • PDF
    Machine Teaching for Bayesian Learners in the Exponential Family
    • 64
    • PDF
    Teachable Agents and the Protégé Effect: Increasing the Effort Towards Learning
    • 228
    • Highly Influential
    • PDF