Events and Activities

Explore current and upcoming events and activities happening at the Institute for Advanced Study.

Sep 09

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

Model-based clustering of high-dimensional data: Pitfalls & solutions
David Dunson
12:00pm | Virtual
Abstract: In many applications, it is of interest to cluster subjects based on very high-dimensional data, often in the presence of missing data.  Although discrete mixture models are...
Sep 09

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

Causal inference with binary outcomes subject to both missingness and misclassification
Grace Yi
1:30pm | Virtual
Abstract: Causal inference has been widely conducted in various fields and many methods have been proposed for different settings. However, for noisy data with both...
Sep 09

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

Co-manifold learning with missing data
Eric Chi
1:55pm | Virtual
Abstract: Representation learning is typically applied to only one mode of a data matrix, either its rows or columns. Yet in many applications, there is an...
Sep 09

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

Regularization and spurious correlations in sparse single-cell transcriptomes
Mickey Atwal
2:45pm | Virtual
Abstract: Recent advances in biotechnology and genomics have generated dizzying amounts of large, noisy, and sparse datasets that require concomitant development...
Sep 10

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

Statistical challenges with single cell RNA-Seq technologies
Rafael Irizarry
12:00pm | Virtual
Abstract: I will give a brief introduction to the technology followed by some exploratory data analysis demonstrating the statistical challenges and how some of these can be considered...
Sep 10

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

Gene expression recovery in single cell transcriptomic data
Nancy Zhang
1:30pm | Virtual
Abstract: Cells are the basic biological units of multicellular organisms.  The development of single-cell technologies such as single cell RNA sequencing (scRNA-seq) have...
Sep 10

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

Synthesizing medical images using generative adversarial networks; applications, promises, and pitfalls
Sanmi Koyejo
1:55pm | Virtual
Sep 10

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

High-dimensional omics data analysis with missing values
Anru Zhang
2:45pm | Virtual
Abstract: We have seen the rise of high-dimensional omics data, e.g., genome, transcriptome, microbiome, and proteome in recent decades. The different types of missingness in modern...
Sep 11

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

Metric and manifold repair for missing data
Anna Gilbert
12:00pm | Virtual
Abstract: For many machine learning tasks, the input data lie on a low-dimensional manifold embedded in a high-dimensional space and, because of this high-...
Sep 11

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

Low-rank matrix recovery from quantized or count observations
Mark Davenport
1:30pm | Virtual
Abstract: Low-rank matrices play a fundamental role in modeling and computational methods for signal processing and machine learning. In many applications where low-...