Virtual Workshop on Missing Data Challenges in Computation, Statistics and Applications Schedule

September 8, 2020

Conference Lobby virtual room

8:30 am – 8:55 am

Opening Remarks



Statistical modeling and missing data

Rod Little, Keynote 1

9:15am -10:15 am


Poster Presentations (10 min talk + 10 min Q&A)

10:20 am -10:40 am

Rishi Sonthalia, Unrolling Swiss Cheese: Metric repair on manifolds with holes

Ariel Jaffe, Spectral methods for recovering latent tree graphical models

Kabir Chandrasekher, Imputation for High-Dimensional Linear Regression


Supervised learning with missing values

Julie Josse

10:40am – 11:00 am


Missing data in single cell studies: augmentation, integration, and discovery

Barbara Englehardt

11:05am – 11:25 am


Poster Presentations (10 min talk + 10 min Q&A)

11:30 am -11:50 am

Chengrun Yang, Efficient AutoML Pipeline Search with Matrix and Tensor Factorization

Changhun Jo, Discrete-valued Preference Estimation with Graph Side Information

Marjan Hosseini, Hierarchical Bayesian Admixture Modelling of Intron Excision Structure


Experimental Evaluation of Computer-Assisted Human Decision Making: A Missing Data Approach

Kosuke Imai

11:55- 12:15pm


September 9, 2020

Model-based clustering of high-dimensional data: Pitfalls & solutions

David Dunson, Keynote 2

12:00pm – 1:00 pm


Poster Presentations (10 min talk + 10 min Q&A)

1:05 pm – 1:25 pm

Christian Kuemmerle, Unbiased Matrix Completion via Scalable Second-Order Optimization

Andrew McRae, Low-rank matrix completion and denoising under Poisson noise


Causal inference with binary outcomes subject to both missingness and misclassification

Grace Yi

1:30pm – 1:50 pm


Co-manifold learning with missing data

Eric Chi

1:55 pm – 2:15 pm


Poster Presentations (10 min talk + 10 min Q&A)

2:20pm – 2:40 pm

Kyle Gilman, Grassmannian Optimization for Online Tensor Completion and Tracking in the t-SVD Algebra

Ethan Baker, Power Analysis for Inference of Cellular Community Structure from Sparse Biological Data


Regularization and spurious correlations in sparse single-cell transcriptomes

Mickey Atwal

2:45pm- 3:05 pm


September 10, 2020

Statistical challenges with single cell RNA-Seq technologies

Rafael Irizarry, Keynote 3

12:00pm – 1:00 pm


Poster Presentations (10 min talk + 10 min Q&A)

1:05 pm – 1:25 pm

Changxiao Cai, Nonconvex low-rank tensor completion from noisy data

Mike Bing, Inference in Interpretable Latent Factor Regression Models

William Leeb, Missing Data in the High Noise Regime


Gene expression recovery in single cell transcriptomic data

Nancy Zhang

1:30 pm – 1:50 pm


Synthesizing medical images using generative adversarial networks; applications, promises, and pitfalls

Sanmi Koyejo

1:55 pm – 2:15 pm


Break 2:20 pm – 2:40 pm


High-dimensional omics data analysis with missing values

Anru Zhang

2:45 pm – 3:05pm


September 11, 2020

Metric and manifold repair for missing data

Anna Gilbert, Keynote 4

12:00pm – 1:00 pm


Break 1:05 pm – 1:25 pm


Low-rank matrix recovery from quantized or count observations

Mark Davenport

1:30 pm – 1:50 pm


Low Algebraic Dimension Matrix Completion

Laura Balzano

2:00pm – 2:20 pm