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Fingerprint Dive into the research topics where Sanjeev Arora is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Projects

Research Output

A convergence analysis of gradient descent for deep linear neural networks

Arora, S., Golowich, N., Cohen, N. & Hu, W., Jan 1 2019.

Princeton University

Research output: Contribution to conferencePaper

  • 5 Scopus citations

    A simple but tough-to-beat baseline for sentence embeddings

    Arora, S., Liang, Y. & Ma, T., Jan 1 2019.

    Princeton University

    Research output: Contribution to conferencePaper

  • 35 Scopus citations

    A theoretical analysis of contrastive unsupervised representation learning

    Arora, S., Khandeparkar, H., Khodak, M., Plevrakis, O. & Saunshi, N., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 9904-9923 20 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Princeton University

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Scopus citations

    Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks

    Arora, S., Du, S. S., Hu, W., Li, Z. & Wang, R., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 477-502 26 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Princeton University

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Scopus citations

    Theoretical analysis of auto rate-tuning by batch normalization

    Arora, S., Lyu, K. & Li, Z., Jan 1 2019.

    Princeton University

    Research output: Contribution to conferencePaper

  • 2 Scopus citations