Past Events

  • 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.