teaching dimension

Lower Bounds for Greedy Teaching Set Constructions COLT 2025 The Computational Complexity of Positive Non-Clashing Teaching in Graphs ICLR 2025 MAP- and MLE-Based Teaching JMLR 2024 Non-Clashing Teaching Maps for Balls in Graphs COLT 2024 On a Combinatorial Problem Arising in Machine Teaching ICML 2024 Bandit Learnability can be Undecidable COLT 2023 Nonparametric Iterative Machine Teaching ICML 2023 On Batch Teaching Without Collusion JMLR 2023 Tournaments, Johnson Graphs and NC-Teaching ALT 2023 Distinguishing Relational Pattern Languages With a Small Number of Short Strings ALT 2022 Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model IJCAI 2022 On Batch Teaching with Sample Complexity Bounded by VCD NeurIPS 2022 The Teaching Dimension of Regularized Kernel Learners ICML 2022 Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm NeurIPS 2021 The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021 The Teaching Dimension of Kernel Perceptron AISTATS 2021 Optimal Collusion-Free Teaching ALT 2019 Optimal Cooperative Inference AISTATS 2018 No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously IJCAI 2017 Preference-based Teaching JMLR 2017 Preference-based Teaching COLT 2016 The Label Complexity of Mixed-Initiative Classifier Training ICML 2016 The Teaching Dimension of Linear Learners ICML 2016 The Teaching Dimension of Linear Learners JMLR 2016 How Do Humans Teach: On Curriculum Learning and Teaching Dimension NeurIPS 2011