Nishant Mehta, University of Victoria

Research

Read how they describe their research on their University of Victoria profile.

Machine learning theory

Latest funding

Tighter error bounds for representation learning and lifelong learning
NSERC · 2018 · Principal investigator
$12,500
Tighter error bounds for representation learning and lifelong learning
NSERC · 2018 · Principal investigator
$273,000

All 2 grants and awards

No publications available.

Tighter error bounds for representation learning and lifelong learning

Principal investigatorNSERC2018Discovery Launch Supplement

Principal investigators: Mehta, Nishant

$12,500

Tighter error bounds for representation learning and lifelong learning

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Mehta, Nishant

Keywords: deep learning; lifelong learning; machine learning; online learning; representation learning; statistical learning theory; statistics

$273,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Subject: Prospective PhD student: Machine learning theory Dear Professor Mehta, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on machine learning theory connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]