March 19, 2021 |
Lecture Daniel Kaslovsky (Automox) |
Industrial Problems Seminar |

March 02, 2021 |
Lecture Jianfeng Lu (Duke University) |
Data Science Seminar |

February 23, 2021 |
Lecture Facundo Mémoli (The Ohio State University) |
Data Science Seminar |

February 09, 2021 |
Lecture Kenth Monsen (Telenor) |
Data Science Seminar |

February 02, 2021 |
Lecture Wenjing Liao (Georgia Institute of Technology) |
Data Science Seminar |

January 29, 2021 |
Lecture Hany Farag (Canadian Imperial Bank of Commerce (CIBC)) |
Industrial Problems Seminar |

January 26, 2021 |
Lecture Amir Sagiv (Columbia University) |
Data Science Seminar |

January 22, 2021 |
Lecture Edo Liberty (HyperCube) |
Industrial Problems Seminar |

January 19, 2021 |
Lecture Dimitris Giannakis (Courant Institute of Mathematical Sciences) |
Data Science Seminar |

December 15, 2020 |
Lecture Barak Sober (Duke University) |
Data Science Seminar |

December 08, 2020 |
Lecture Matthew Hirn (Michigan State University) |
Data Science Seminar |

December 04, 2020 |
Lecture Julie Thompson (Boston Scientific) |
Industrial Problems Seminar |

December 01, 2020 |
Lecture Xiuyuan Cheng (Duke University) |
Data Science Seminar |

November 24, 2020 |
Lecture Gal Mishne (University of California, San Diego) |
Data Science Seminar |

November 17, 2020 |
Lecture Alexander Cloninger (University of California, San Diego) |
Data Science Seminar |

November 13, 2020 |
Gradient Flows in the Wasserstein Metric: From Discrete to Continuum via Regularization Katy Craig (University of California, Santa Barbara) |
Optimal Control, Optimal Transport, and Data Science |

November 12, 2020 |
Information in Mean Field Control Aaron Palmer (University of British Columbia) |
Optimal Control, Optimal Transport, and Data Science |

November 12, 2020 |
Prediction with Expert Advice: A PDE Perspective on a Model Problem from Online Machine Learning Robert Kohn (New York University) |
Optimal Control, Optimal Transport, and Data Science |

November 12, 2020 |
Stochastic Methods for Optimal Transport in Machine Learning Applications Aude Genevay (Massachusetts Institute of Technology) |
Optimal Control, Optimal Transport, and Data Science |

November 12, 2020 |
Wasserstein Control of Mirror Langevin Monte Carlo Kelvin Shuangjian Zhang (École Normale Supérieure) |
Optimal Control, Optimal Transport, and Data Science |

November 11, 2020 |
A Fast Approach to Optimal Transport: The Back-and-forth Method Matthew Jacobs (University of California, Los Angeles) |
Optimal Control, Optimal Transport, and Data Science |

November 11, 2020 |
Active Learning and Optimal Experimental Design Eldad Haber (University of British Columbia) |
Optimal Control, Optimal Transport, and Data Science |

November 11, 2020 |
Optimal Control of Fluid Transport Networks Anatoly Zlotnik (Los Alamos National Laboratory) |
Optimal Control, Optimal Transport, and Data Science |

November 11, 2020 |
Streaming Computation of Optimal Weak Transport Barycenters Elsa Cazelles (University of Chile) |
Optimal Control, Optimal Transport, and Data Science |

November 10, 2020 |
A PDE Interpretation of Prediction with Expert Advice Nadejda Drenska (University of Minnesota, Twin Cities) |
Optimal Control, Optimal Transport, and Data Science |

November 10, 2020 |
Natural Graph Wavelet Packets Naoki Saito (University of California, Davis) |
Data Science Seminar |

November 10, 2020 |
Mathematical Approaches to Deep Learning: Model Uncertainty, Robustness and Regularization Adam Oberman (McGill University) |
Optimal Control, Optimal Transport, and Data Science |

November 10, 2020 |
On The Convergence of MMD GANs: A Theory via Parameteric Kernelized Gradient Flows Youssef Mroueh (IBM) |
Optimal Control, Optimal Transport, and Data Science |

November 10, 2020 |
Deep Learning and Optimal Control Weinan E (Princeton University) |
Optimal Control, Optimal Transport, and Data Science |

November 09, 2020 |
Graphical Optimal Transport Yongxin Chen (Georgia Institute of Technology) |
Optimal Control, Optimal Transport, and Data Science |

November 09, 2020 |
Learned Adversarial Regularisers Carola Schoenlieb (University of Cambridge (Cambridge, GB)) |
Optimal Control, Optimal Transport, and Data Science |

November 09, 2020 |
The Quadratic Wasserstein Metric for Inverse Data Matching Problems Yunan Yang (New York University) |
Optimal Control, Optimal Transport, and Data Science |

November 06, 2020 |
Active Community Detection with Maximal Expected Model Change Dan Kushnir (Nokia Bell Labs) |
Industrial Problems Seminar |

November 03, 2020 |
Machine Learning Methods for Solving High-dimensional Mean-field Game Systems Levon Nurbekyan (University of California, Los Angeles) |
Data Science Seminar |

October 27, 2020 |
Clustering High-dimensional Data with Path Metrics: A Balance of Density and Geometry Anna Little (The University of Utah) |
Data Science Seminar |

October 23, 2020 |
An Introduction to Image Compression, Old and New Chris Finlay (Deep Render) |
Industrial Problems Seminar |

October 20, 2020 |
How COVID-19 has Changed the World and What the Future Holds Michael Osterholm (University of Minnesota, Twin Cities) |
Data Science Seminar |

October 16, 2020 |
Systems Modeling in Biopharma Helen Moore (Applied BioMath) |
Industrial Problems Seminar |

October 13, 2020 |
Geometric Methods in Statistics, Optimization, and Sampling Tyler Maunu (Massachusetts Institute of Technology) |
Data Science Seminar |

October 06, 2020 |
Large-Scale Semi-supervised Learning via Graph Structure Learning over High-dense Points Li Wang (University of Texas at Arlington) |
Data Science Seminar |

October 02, 2020 |
Combinatorial Algorithms for National Security Cynthia Phillips (Sandia National Laboratories) |
Industrial Problems Seminar |

September 29, 2020 |
Multi-Perspective, Simultaneous Embedding and Theoretically Guaranteed Projected Power Method for the Multi-way Matching Problem Vahan Huroyan (University of Arizona) |
Data Science Seminar |

September 25, 2020 |
The Technical and Organizational Challenges of Data Science Catherine (Katy) Micek (3M) |
Industrial Problems Seminar |

September 22, 2020 |
Matrix Denoising with Weighted Loss William Leeb (University of Minnesota, Twin Cities) |
Data Science Seminar |

September 18, 2020 |
SIAM Internship Panel Montie Avery (University of Minnesota, Twin Cities) |
Industrial Problems Seminar |

September 18, 2020 |
Learning Ill-Conditioned Gaussian Graphical Models Raghu Meka (University of California, Los Angeles) |
Theory and Algorithms in Graph-based Learning |

September 18, 2020 |
Learning Discrete Graphical Models: Exact & Neural Network Assisted Methods Marc Vuffray (Los Alamos National Laboratory) |
Theory and Algorithms in Graph-based Learning |

September 18, 2020 |
Learning Restricted Boltzmann Machines Ankur Moitra (Massachusetts Institute of Technology) |
Theory and Algorithms in Graph-based Learning |

September 17, 2020 |
On Wasserstein Gradient Flows and the Search of Neural Network Architectures Nicolas Garcia Trillos (University of Wisconsin, Madison) |
Theory and Algorithms in Graph-based Learning |

September 17, 2020 |
Community Detection Using Total Variation and Surface Tension Zach Boyd (University of North Carolina, Chapel Hill) |
Theory and Algorithms in Graph-based Learning |

September 17, 2020 |
Vertex Nomination, Consistent Estimation, and Adversarial Modification Vince Lyzinski (University of Maryland) |
Theory and Algorithms in Graph-based Learning |

September 17, 2020 |
L-Infinity Variational Problems on Graphs: Applications and Continuum Limits Leon Bungert (Friedrich-Alexander-Universität Erlangen-Nürnberg), Tim Roith (Friedrich-Alexander-Universität Erlangen-Nürnberg) |
Theory and Algorithms in Graph-based Learning |

September 16, 2020 |
Computational Complexity and Forbidden Graph Patterns Puck Rombach (University of Vermont) |
Theory and Algorithms in Graph-based Learning |

September 16, 2020 |
Bias-Variance Tradeoffs in Joint Spectral Embeddings Daniel Sussman (Boston University) |
Theory and Algorithms in Graph-based Learning |

September 16, 2020 |
When Labelling Hurts: Learning to Classify Large-Scale Data with Minimal Supervision Angelica Aviles-Rivero (University of Cambridge) |
Theory and Algorithms in Graph-based Learning |

September 15, 2020 |
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization Yifei Lou (University of Texas at Dallas) |
Theory and Algorithms in Graph-based Learning |

September 15, 2020 |
On Anisotropic Diffusion Equations for Label Propagation Lisa-Maria Kreusser (University of Cambridge) |
Theory and Algorithms in Graph-based Learning |

September 15, 2020 |
Graph Structure of Neural Networks Jure Leskovec (Stanford University) |
Theory and Algorithms in Graph-based Learning |

September 15, 2020 |
Using Continuum Limits To Understand Data Clustering And Classification Franca Hoffmann (California Institute of Technology) |
Theory and Algorithms in Graph-based Learning |

September 14, 2020 |
A Fast Graph-Based Data Classification Method with Applications to 3D Sensory Data in the Form of Point Clouds Ekaterina Rapinchuk (Michigan State University) |
Theory and Algorithms in Graph-based Learning |

September 14, 2020 |
Reducibility and Statistical-Computational Gaps from Secret Leakage Guy Bresler (Massachusetts Institute of Technology) |
Theory and Algorithms in Graph-based Learning |

September 14, 2020 |
Robust Group Synchronization via Cycle-Edge Message Passing Gilad Lerman (University of Minnesota, Twin Cities) |
Theory and Algorithms in Graph-based Learning |

September 14, 2020 |
A Self-avoiding Approximate Mean Curvature Flow Simon Masnou (Université Claude-Bernard (Lyon I)) |
Theory and Algorithms in Graph-based Learning |

September 11, 2020 |
Flying High with Math Sharon Arroyo (The Boeing Company), Shabnam Khamooshi (The Boeing Company) |
Industrial Problems Seminar |

September 08, 2020 |
Does Deep Learning Solve the Phase Retrieval Problem? Ju Sun (University of Minnesota, Twin Cities) |
Data Science Seminar |

August 18, 2020 |
Fairness, Accountability, and Transparency: (Counter)-Examples from Predictive Models in Criminal Justice Kristian Lum (University of Pennsylvania) |
Data Science Seminar |

August 04, 2020 |
A Network Science Approach for Controlling Epidemic Outbreaks Anil Vullikanti (University of Virginia) |
Data Science Seminar |

July 15, 2020 |
Interview with Dr. Pamela E. Harris Pamela Harris (Williams College) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |

July 14, 2020 |
Mentor Discussion: Effective Mentoring Skills |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |

July 14, 2020 |
Student Discussion: Grad School Life |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |

July 14, 2020 |
Panel Discussion |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |

July 14, 2020 |
Finding and Solving My Problem – A Conversation with Dr. Adrian Coles Adrian Coles (Eli Lilly and Company) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |

July 14, 2020 |
Introduction Activity William Vélez (University of Arizona) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |

July 13, 2020 |
Student and Mentor Activities Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer), Nicole Joseph (Vanderbilt University) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |

July 13, 2020 |
Student and Mentor Activities Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer), Nicole Joseph (Vanderbilt University) |
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop |

June 23, 2020 |
Computational Science for COVID-19 Pandemic Planning and Response Madhav Marathe (University of Virginia) |
Data Science Seminar |

June 09, 2020 |
Data and Models for COVID-19 Decision-Making Forrest Crawford (Yale University) |
Data Science Seminar |

May 22, 2020 |
AI for COVID-19: An Online Virtual Care Approach Xavier Amatriain (Curai) |
Industrial Problems Seminar |

May 19, 2020 |
Transmission Dynamics of Influenza and SARS-CoV-2: Environmental Determinants, Inference and Forecast Jeffrey Shaman (Columbia University) |
Data Science Seminar |

April 26, 2020 |
Lecture Bruno Sinopoli (Washington University in St. Louis) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 26, 2020 |
On the Role of Well-posedness in Homotopy Methods for the Stability Analysis of Nonlinear Feedback Systems Randy Freeman (Northwestern University) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 26, 2020 |
Using Parallel Computing Insights to Design and Analyze Control Architectures Victor Zavala (University of Wisconsin, Madison) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 26, 2020 |
Autonomous and Resilient Control of Dynamical Systems Using Reinforcement Learning Bahare Kiumarsi (Michigan State University) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 26, 2020 |
Bridging Model-based Robust Control and Model-free Reinforcement Learning Bin Hu (University of Illinois at Urbana-Champaign) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 26, 2020 |
Vulnerability and Robustness of Deep Reinforcement Learning Agents Soumik Sarkar (Iowa State University) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 26, 2020 |
Markov Decision Processes and Sparse Linear Regression: A Combinatorial Optimization Viewpoint Srinivasa Salapaka (University of Illinois at Urbana-Champaign) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Long-term Fairness Implications of AI-driven Decision Making in Competitive Markets Parinaz Ardabili (The Ohio State University) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Lecture David Rahman (University of Minnesota, Twin Cities) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Dashboard Mechanisms for Online Marketplaces Jason Hartline (Northwestern University) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Design of Information Sharing Mechanisms in Markets and Service Systems Krishnamurthy Iyer (University of Minnesota, Twin Cities) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Strategic Political Communication Across Channels: Theory and Data Sanmay Das (Washington University in St. Louis) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Incentivizing Collaboration in Heterogeneous Teams via Common-Pool Resource Games Vaibhav Srivastava (Michigan State University) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Security Games with Additive Utilities Sourabh Bhattacharya (Iowa State University) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Lecture Cedric Langbort (University of Illinois at Urbana-Champaign) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Control Synthesis under Spatiotemporal Specifications Dimitra Panagou (University of Michigan) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Lecture Vijay Gupta (University of Notre Dame) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 25, 2020 |
Developments in Computational Approaches for Model Predictive Control Ilya Kolmanovsky (University of Michigan) |
Postponed: The 9th Midwest Control and Game Theory Workshop |

April 08, 2020 |
Moving Engineered Organotypic Models Towards the Clinic David Beebe (University of Wisconsin, Madison) |
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment |

April 08, 2020 |
Lecture Paul Macklin (Indiana University) |
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment |

April 08, 2020 |
A New Mouse Model Provides Insight Into the Ductal Cell Origin and Microenvironment of Human PDAC Daniel Billadeau (Mayo Clinic) |
CANCELED: Quantitative Analysis and Mathematical Modeling to Capture Complex Dynamics of the Tumor Microenvironment |