Past Events

    Winter 2025 Schedule

    • 3/3/25 Yikun Zhang Practice General Exam presentation with the title "Nonparametric Inference on Causal Effects of Continuous Treatments: With and Without the Positivity Condition". Paper I link, Paper II link.

    Fall 2024 Schedule

    A list of papers of interest is here.
    • 12/09/24 Vlad Murad research work with Professor Marina Meila about a theoretical framework for analyzing and justifying the robustness of spectral Manifold Learning algorithms in the presence of noise.
    • 10/21/24, 5-6 PM James Buenfil Practice General Exam presentation with the title "Asymmetric Canonical Correlation Analysis of Riemannian and High-Dimensional Data". Paper link Hybrid
    • 11/18/24 (Paizhe Xie) Estimation and Quantization of Expected Persistence Diagrams
    • 11/04/24 (Tony Zeng) Zigzag Persistence and Fractals
    • 10/21/24 Introduction to Geometric Data Analysis Group
    • 10/30/23 (Yikun Zhang) Optimization on Manifolds With Applications in Cosmic Web Detection
    • 02/13/23 (Jerry Wei) Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
    • 02/13/23 (Yikun Zhang) An Efficient and Continuous Voronoi Density Estimator
    • 10/31/22 (James Buenfil) Nonlinear Mean Shift over Riemannian Manifolds
    • 05/02/22 (Yikun Zhang) Robust Optimization and Inference on Manifolds
    • 04/18/22 (Jerry Wei) A Statistical Perspective on Coreset Density Estimation
    • 04/24/22 GDA Open House
    • 02/28/22 (Jerry Wei)Skeleton Regression: A Graph-Based Approach to Estimation on Manifold

    • 08/6/21 (Zhitao Yu) Conditional out-of-distribution generation for unpaired data using transfer VAE

    • 06/7/21 (Samson Koelle) Learning locally isometric parameterizations from a dictionary

    • 04/26/21 (GDA Open House)

    • 3/15/21 (Zhenman Yuan) Slides Structure Adaptive Manifold Estimation

    • 2/22/21 (Jerry Wei) Skeleton Clustering

    • 2/1/21 (Diego Espinoza) Single Cell RNA-sequencing and Manifold Learning

    • 12/7/20 (Daniel Ting) Manifold deflation

    • 11/23/20(Yikun Zhang) Directional Mean Shift
    • 11/9/20 (Richard Guo and Samson Koelle) Instrumental Variables
      • Richard will present a review of instrumental variables from a causal perspective Slides
      • Sam will then present some connections to dimension reduction and unsupervised learning
    • 10/26/20 (Eden Xu) Matern Gaussian Processes on Manifolds
    • 10/12/20 (Marina Meila) A first look at the mathematics and statistics of gerrymandering.