@inproceedings{dl3-b-curriculum-sampling-objectives-1,
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  year = {2009},
  url = {https://ronan.collobert.com/pub/matos/2009_curriculum_icml.pdf},
  booktitle = {Proceedings of the 26th International Conference on Machine Learning}
}

@inproceedings{dl3-b-curriculum-sampling-objectives-2,
  title = {Self-Paced Learning for Latent Variable Models},
  author = {M. Pawan Kumar and Benjamin Packer and Daphne Koller},
  year = {2010},
  url = {https://papers.nips.cc/paper/2010/hash/e57c6b956a6521b28495f2886ca0977a-Abstract.html},
  booktitle = {Advances in Neural Information Processing Systems},
  volume = {23},
  pages = {1189-1197}
}

@inproceedings{dl3-b-curriculum-sampling-objectives-3,
  title = {On The Power of Curriculum Learning in Training Deep Networks},
  author = {Guy Hacohen and Daphna Weinshall},
  year = {2019},
  url = {https://proceedings.mlr.press/v97/hacohen19a.html},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning},
  volume = {97},
  pages = {2535-2544}
}

@misc{dl3-b-curriculum-sampling-objectives-4,
  title = {Prioritized Experience Replay},
  author = {Tom Schaul and John Quan and Ioannis Antonoglou and David Silver},
  year = {2015},
  url = {https://arxiv.org/abs/1511.05952},
  howpublished = {arXiv preprint},
  archivePrefix = {arXiv},
  eprint = {1511.05952},
  note = {Cited author-manuscript edition; peer review is not inferred from arXiv}
}

@inproceedings{dl3-b-curriculum-sampling-objectives-5,
  title = {Not All Samples Are Created Equal: Deep Learning with Importance Sampling},
  author = {Angelos Katharopoulos and François Fleuret},
  year = {2018},
  url = {https://proceedings.mlr.press/v80/katharopoulos18a.html},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning},
  volume = {80},
  pages = {2525-2534}
}

@article{dl3-b-curriculum-sampling-objectives-6,
  title = {Importance Sampling for Minibatches},
  author = {Dominik Csiba and Peter Richtárik},
  year = {2018},
  url = {https://www.jmlr.org/papers/v19/16-241.html},
  journal = {Journal of Machine Learning Research},
  volume = {19},
  number = {27},
  pages = {1-21}
}