Wenlong Mou, University of Toronto

Research

statistical learning theory reinforcement learning and stochastic control nonparametric and semiparametric estimation data-driven decision making causal inference off-policy estimation high-dimensional statistics statistical minimax theory

Latest funding

Statistical learning for decision making: instance-dependent optimality and efficient algorithms
NSERC · 2024 · Principal investigator
$26,000
Statistical learning for decision making: instance-dependent optimality and efficient algorithms
NSERC · 2024 · Principal investigator
$12,500

All 2 grants and awards

Statistical learning for decision making: instance-dependent optimality and efficient algorithms

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Mou, Wenlong

Keywords: statistical learning theory; reinforcement learning and stochastic control; nonparametric and semiparametric estimation; data-driven decision making; causal inference; off-policy estimation; high-dimensional statistics; statistical minimax theory; stochastic approximation and optimization; bandit algorithms and active learning

$26,000

Statistical learning for decision making: instance-dependent optimality and efficient algorithms

Principal investigatorNSERC2024Discovery Launch Supplement

Principal investigators: Mou, Wenlong

Keywords: statistical learning theory; reinforcement learning and stochastic control; nonparametric and semiparametric estimation; data-driven decision making; causal inference; off-policy estimation; high-dimensional statistics; statistical minimax theory; stochastic approximation and optimization; bandit algorithms and active learning

$12,500

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

Mention their NSERC grant from 2024

Subject: Prospective PhD student: statistical learning theory Dear Professor Mou, 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 statistical learning theory connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Statistical learning for decision making: instance-dependent optimality and efficient algorithms" (2024), and I would be glad to contribute to work in that direction. 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]