Reference health

Machine learning: Trends, perspectives, and prospects

https://doi.org/10.1126/science.aaa8415
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22/22 checkable references clean · checked 2026-08-03

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

9 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 22 checked references that resolve
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A theory of the learnable
resolves10.1073/pnas.1302293110
Computational and statistical tradeoffs via convex relaxation
resolves10.1137/S0097539797325648
Computational Sample Complexity
resolves10.1561/2200000016
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
resolves10.7551/mitpress/8996.001.0001
Optimization for Machine Learning
resolves10.1016/j.neunet.2014.09.003
Deep learning in neural networks: An overview
resolves10.1561/2200000006
Learning Deep Architectures for AI
resolves10.1109/MSP.2012.2205597
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
resolves10.1126/science.1127647
Reducing the Dimensionality of Data with Neural Networks
resolves10.1038/nature14236
Human-level control through deep reinforcement learning
resolves10.1109/TNN.1998.712192
Reinforcement Learning: An Introduction
resolves10.1002/9780470400531.eorms0646
Partially Observable<scp>MDPs</scp>(<scp>POMDPS</scp>): Introduction and Examples
resolves10.1126/science.275.5306.1593
A Neural Substrate of Prediction and Reward
resolves10.1007/11681878_14
Calibrating Noise to Sensitivity in Private Data Analysis
resolves10.1145/2450142.2450148
A learning theory approach to noninteractive database privacy
resolves10.1145/2666468
Privacy Aware Learning
resolves10.1214/13-AOS1127
Optimal detection of sparse principal components in high dimension
resolves10.1111/rssb.12050
A Scalable Bootstrap for Massive Data
resolves10.1561/2200000035
Randomized Algorithms for Matrices and Data
resolves10.1007/978-1-4615-5529-2
Learning to Learn
resolves10.1371/journal.pone.0112575
Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses
resolves10.1145/2133806.2133826
Probabilistic topic models
The 9 references without a DOI — listed, not checked
no DOI — not checkedT. Hastie R. Tibshirani J. Friedman The Elements of Statistical Learning: Data Mining Inference and Prediction (Springer New York 2011).
no DOI — not checkedK. Murphy Machine Learning: A Probabilistic Perspective (MIT Press Cambridge MA 2012).
no DOI — not checkedS. Shalev-Shwartz O. Shamir E. Tromer Using more data to speed up training time Proceedings of the Fifteenth Conference on Artificial Intelligence and Statistics Canary Islands Spain 21 to 23 April 2012.
no DOI — not checkedKrizhevsky A., Sutskever I., Hinton G., Imagenet classification with deep convolutional neural networks. Adv. Neural Inf. Process. Syst. 25, 1097–1105 (2015).
no DOI — not checkedM.-F. Balcan A. Blum S. Fine Y. Mansour Distributed learning communication complexity and privacy. Proceedings of the 29th Conference on Computational Learning Theory Edinburgh UK 26 June to 1 July 2012.
no DOI — not checkedY. Zhang J. Duchi M. Jordan M. Wainwright in Advances in Neural Information Processing Systems 26 L. Bottou C. Burges Z. Ghahramani M. Welling Eds. (Curran Associates Red Hook NY 2014) pp. 1–23.
no DOI — not checkedT. Mitchell W. Cohen E. Hruschka P. Talukdar J. Betteridge A. Carlson B. Dalvi M. Gardner B. Kisiel J. Krishnamurthy N. Lao K. Mazaitis T. Mohamed N. Nakashole E. Platanios A. Ritter M. Samadi B. Settles R. Wang D. Wijaya A. Gupta X. Chen A. Saparov M. Greaves J. Welling Proceedings of the Twenty-Ninth Conference on Artificial Intelligence (AAAI-15) 25 to 30 January 2015 Austin TX.
no DOI — not checkedTaylor M., Stone P., Transfer learning for reinforcement learning domains: A survey. J. Mach. Learn. Res. 10, 1633–1685 (2009).
no DOI — not checkedK. Xu J. L. Ba R. Kiros K. Cho A. Courville R. Salakhutdinov R. S. Zemel Y. Bengio Proceedings of the 32nd International Conference on Machine Learning vol. 37 Lille France 6 to 11 July 2015 pp. 2048–2057.
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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