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
9:00am
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
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