Matus Jan Telgarsky

20072019
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Tensor Decomposition Mathematics
Latent Variable Models Mathematics
Neural networks Engineering & Materials Science
Tensors Engineering & Materials Science
Polynomials Engineering & Materials Science
Tensor Mathematics
Logistics Engineering & Materials Science
Revealed Preference Mathematics

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Research Output 2007 2019

  • 6 Conference contribution
  • 5 Conference article
  • 4 Article
  • 2 Paper

Gradient descent aligns the layers of deep linear networks

Ji, Z. & Telgarsky, M. J., Jan 1 2019.

Research output: Contribution to conferencePaper

Linear networks
entropy
logistics
Logistics
Entropy

Size-noise tradeoffs in generative networks

Bailey, B. & Telgarsky, M. J., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6489-6499 11 p.

Research output: Contribution to journalConference article

Taylor series
Normal distribution

Social welfare and profit maximization from revealed preferences

Ji, Z., Mehta, R. & Telgarsky, M., Jan 1 2018, Web and Internet Economics - 14th International Conference, WINE 2018, Proceedings. Harks, T. & Christodoulou, G. (eds.). Springer-Verlag, p. 264-281 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11316 LNCS).

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

Revealed Preference
Welfare
Profit
Profitability
Valuation

Neural networks and rational functions

Telgarsky, M. J., Jan 1 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), Vol. 7. p. 5195-5210 16 p.

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

Rational functions
Neural networks
Polynomials

Spectrally-normalized margin bounds for neural networks

Bartlett, P. L., Foster, D. J. & Telgarsky, M. J., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 6241-6250 10 p.

Research output: Contribution to journalConference article

Labels
Neural networks