Slides of Recent Talks:

• "Estimating Higher-Order Mixed Membserships via the Two to Infinity Tensor Perturbation Bound"
• "Asymptotics and Statistical Inference in High-Dimensional Low-Rank Matrix Models" (PhD defense)
• "Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels"
• "Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence"

Talks:

• "Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications"
  Statistics Department Seminar, University of Illinois Urbana-Champaign, September, 2024
  
• "A Precise High-Dimensional Statistical Theory for Convex and Nonconvex Matrix Sensing"
  Banff International Research Station Workshop on the Mathematics of Deep Learning, Oaxaca, Mexico, June, 2024
  Video recording available here


• "Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications"
  Statistics Department Seminar, University of Virginia, April, 2024
  


• "Estimation and Inference in the Tensor Mixed-Membership Blockmodel"
  Stochastics Seminar, Georgia Tech, November, 2023
  


• "Estimation and Inference in the Tensor Mixed-Membership Blockmodel"
  Statistical Inference on Networks and High-Dimensional Data, University of Maryland, October, 2023
  


• "Estimation and Inference in the Tensor Mixed-Membership Blockmodel"
  Applied Mathematics and Statistics Postdoc Seminar, Johns Hopkins, September, 2023
  


• "Estimation and Inference in the Tensor Mixed-Membership Blockmodel"
  TRIPODS Postdoc Workshop, Toyota Technological Institute of Chicago, August, 2023
  


• "Estimating Higher-Order Mixed Memberships via the Two to Infinity Tensor Perturbation Bound"
  Statistics Department Seminar, University of Illinois Urbana-Champaign, February, 2023
  


• "Estimating Higher-Order Mixed Memberships via the Two to Infinity Tensor Perturbation Bound"
  Statistics Department Seminar, University of California-Riverside, February, 2023
  


• "Estimating Higher-Order Mixed Memberships via the Two to Infinity Tensor Perturbation Bound"
  Statistics Department Seminar, University of Virginia, February, 2023
  


• "Estimating Higher-Order Mixed Memberships via the Two to Infinity Tensor Perturbation Bound"
  Applied Mathematics and Statistics Department Seminar, Johns Hopkins University, January, 2023
  


• "Estimating Higher-Order Mixed Memberships via the Two to Infinity Tensor Perturbation Bound"
  Statistics Department Seminar, University of South Carolina, January, 2023
  


• "Estimating Higher-Order Mixed Memberships via the Two to Infinity Tensor Perturbation Bound"
  Statistics and Actuarial Science Department Seminar, University of Waterloo, December, 2022
  


• "Community Detection in Multilayer Degree-Corrected Stochastic Blockmodels"
  Applied Mathematics and Statistics Student Seminar, JHU, October, 2022
  


• "Community Detection in Multilayer Degree-Corrected Stochastic Blockmodels"
  COMPSTAT, August, 2022
  


• "Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence"
  Joint Statistical Meetings, August, 2022
  


• "Community Detection in Multilayer Degree-Corrected Stochastic Blockmodels"
  Statistical Inference on Network Models (NETSCI Satellite), July, 2022
  


• "Entrywise Guarantees for Sparse PCA via Sparsistent Algorithms"
  Applied Math and Statistics Student Seminar, JHU, 4/19/2022


• "Entrywise Guarantees for Sparse PCA via Sparsistent Algorithms"
  AISTATS, Virtual, 3/30/2022


• "Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence"
  TRIPODS Winter School on Interplay between Artificial Intelligence and Dynamical Systems, JHU, 1/20/2022
  Video recording available here


• "From RDPGs to General Signal Plus Noise Models"
  Guest Lecture for 553.742 Statistical Inference on Graphs, JHU, 12/6/2021


• “Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence”
  Applied Math and Statistics Student Seminar, JHU, 9/21/2021


• “Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues”
  Joint Statistical Meetings, August, 2021
  (Won best presentation award for Nonparametric Statistics Student Competition)


• “Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues”
  Applied Math and Statistics Student Seminar, JHU, 2/2/2021


• “Consistent Nonparametric Hypothesis Testing for Low Rank Random Graphs with Negative or Repeated Eigenvalues”
  Joint Statistical Meetings, 8/6/2020


• “Nonidentifiability and nonparametric random graph hypothesis testing”
  MINDS Seminar, JHU, 4/7/2020


• “On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models”
  Applied Math and Statistics Student Seminar, JHU, 1/28/2020


• “Vertex Nomination, Consistent Estimation, Adversarial Modification”
  Applied Math and Statistics Student Seminar, JHU, 4/23/2019