Live-stream
Live-streaming is available only during workshops and selected seminars.
IMA Video Library
Note: The videos available on this page are copyrighted material. It is intended for personal use or for educational purpose. Renting or resale of this product or any part of its contents is prohibited. Reproduction of any material contained in these videos onto any other media, or reuse in any other form for any purpose, without the expressed written consent of both the IMA and the lecturer, is strictly prohibited.Special Workshop
| Date | Title / Speaker | |
|---|---|---|
| October 14, 2019 |
Interpreting Photon and Electron Detections to Form Images Vivek Goyal (Boston University) |
Special Workshop |
| October 14, 2019 |
Computational Microscopy Laura Waller (University of California, Berkeley) |
Special Workshop |
| Date | Title / Speaker | |
|---|---|---|
| July 24, 2019 |
Polytope algebra, tropical geometry, and Chow cohomology of toric varieties Josephine Yu (Georgia Institute of Technology) |
Special Workshop |
| July 24, 2019 |
Normalized Antics: Polyhedral Computation in an Irrational Age Matthias Koeppe (University of California, Davis) |
Special Workshop |
| July 23, 2019 |
Machine-Learning the String Theory Landscape: Beyond SageMath and Macaulay2 Yang-Hui He (University of London) |
Special Workshop |
| July 23, 2019 |
Smooth Hilbert schemes Gregory Smith (Queen's University) |
Special Workshop |
| July 22, 2019 |
Using Macaulay2 effectively in practice Michael Stillman (Cornell University) |
Special Workshop |
| July 22, 2019 |
Proofs and computations: The story of alternating sign matrices and plane partitions in Sage Jessica Striker (North Dakota State University) |
Special Workshop |
Data Science Workshop
| Date | Title / Speaker | |
|---|---|---|
| September 17, 2019 |
Nonlinear PDEs and regularization in machine learning Jeff Calder (University of Minnesota, Twin Cities) |
Data Science Workshop |
| September 17, 2019 |
Gaussian Complexity, Metric Entropy, and the Statistical Learning of Deep Nets Andrew Barron (Yale University) |
Data Science Workshop |
| September 16, 2019 |
Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation Runze Li (The Pennsylvania State University) |
Data Science Workshop |
| September 16, 2019 |
Functional data analysis for activity profiles from wearable devices Ian McKeague (Columbia University) |
Data Science Workshop |
| September 16, 2019 |
Envelope Methods Dennis Cook (University of Minnesota, Twin Cities) |
Data Science Workshop |
| September 16, 2019 |
ML under a Modern Optimization Lens Dimitris Bertsimas (Massachusetts Institute of Technology) |
Data Science Workshop |
| Date | Title / Speaker | |
|---|---|---|
| June 21, 2019 |
Locally Private Bayesian Inference for Count Models Steven Wu (University of Minnesota, Twin Cities) |
Data Science Workshop |
| June 21, 2019 |
Gaps in Information Access in Social Networks Suresh Venkatasubramanian (The University of Utah) |
Data Science Workshop |
| June 21, 2019 |
How Robust are Reconstruction Thresholds for Community Detection? Ankur Moitra (Massachusetts Institute of Technology) |
Data Science Workshop |
| June 20, 2019 |
Locally private learning, estimation, inference and optimality Feng Ruan (Stanford University) |
Data Science Workshop |
| June 20, 2019 |
Individual Sensitivity Preprocessing for Data Privacy Rachel Cummings (Georgia Institute of Technology) |
Data Science Workshop |
| June 20, 2019 |
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Thomas Steinke (IBM Research Division) |
Data Science Workshop |
| June 20, 2019 |
Towards Practical Notions of Individual Fairness Aaron Roth (University of Pennsylvania) |
Data Science Workshop |
| June 20, 2019 |
Private Algorithms for High-Dimensional Gaussians Jonathan Ullman (Northeastern University) |
Data Science Workshop |
| June 19, 2019 |
A Complexity-Theoretic Perspective on Algorithmic Fairness Omer Reingold (Stanford University) |
Data Science Workshop |
| June 19, 2019 |
The Structure of Optimal Private Tests for Simple Hypotheses Audra McMillan (University of California, Berkeley) |
Data Science Workshop |
| June 18, 2019 |
Predictive inference with the jackknife+ Rina Barber (University of Chicago) |
Data Science Workshop |
Data Science Seminar
| Date | Title / Speaker | |
|---|---|---|
| June 23, 2020 |
Computational Science for COVID-19 Pandemic Planning and Response Madhav Marathe (University of Virginia) |
Data Science Seminar |
| May 19, 2020 |
Transmission Dynamics of Influenza and SARS-CoV-2: Environmental Determinants, Inference and Forecast Jeffrey Shaman (Columbia University) |
Data Science Seminar |
| December 06, 2019 |
Probabilistic Preference Learning with the Mallows Rank Model for Incomplete Data Arnoldo Frigessi (Oslo University Hospital) |
Data Science Seminar |
| October 01, 2019 |
Citizen Science and Machine Learning at Zooniverse Darryl Wright (University of Minnesota, Twin Cities) |
Data Science Seminar |
| September 24, 2019 |
The Geometry of Ambiguity in One-dimensional Phase Retrieval Dan Edidin (University of Missouri) |
Data Science Seminar |