Fall 2025
Fall 2025 IDEAL Special Program on High Dimensional and Complex Data Analysis
High-dimensional data analysis has been an active area of research for decades. Its role in the context of modern big data is even more significant. The advancements of new technologies in genetics, social science, economics, and other areas bring us data sets of new types, from which many new challenges emerge. This special program will bring together researchers from diverse disciplines to explore several research directions including (1) understanding dependence in high-dimensional data sets, (2) establishing mathematical foundations, (3) detecting new complex structures, and (4) quantifying uncertainties under constraints.
Organizers
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- Chao Gao (Chicago Stats)
- Kostya Makarychev (Northwestern CS)
- Miki Racz (Northwestern Statistics / CS)
- Yury Makarychev (TTIC CS)
- Aravindan Vijayaraghavan
Graduate Courses
Workshops
- September 19th- 20th – Microeconometrics Class of 2025 Conference
- Monday, October 6th – Fall 2025 Kickoff Event
- Friday, October 24th – Inference in High Dimensions: Algorithms and Statistics
- Wednesday, October 29th – Uncertainty Quantification and Reliability
- Friday, November 14th – Metric Embeddings, High Dimensional Geometry, Vector Databases