CSE DSI Machine Learning Seminar Series
CSE DSI Machine Learning seminars will be held Tuesdays 11a.m. - 12 p.m. Central Time in hybrid mode. We hope facilitate face-to-face interactions among faculty, students, and partners from industry, government, and NGOs by hosting some of the seminars in-person. See individual dates for more information.
We are now posting recordings of past seminars on our YouTube channel.
Organizers:
Ju Sun (Chair; CS&E), Saad Bedros (MnDRIVE), Xuan Bi (IDS, Carlson), Jie Ding (Stats, CLA), Qizhi He (CEGE), Mingyi Hong (ECE), Zhaosong Lu (ISyE), Le Peng (Webmaster; CS&E), Sandra Safo (Biostats, SPH), Nadja Strobbe (School of Physics and Astronomy), Yue Yu (Aerospace Engineering and Mechanics), Qi Zhang (CEMS)
CSE DSI Machine Learning Seminar Calendar
Spring 2025
Fall 2024
| Title and Speaker | Date | Location |
|---|---|---|
| Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design, with Aryan Deshwal (Computer Science and Engineering, UMN) | September 10 | Lind Hall 325 or via Zoom |
| AI/ML-enabled Data Fusion for Complex Engineering Systems, with Shancong Mou (Industrial and Systems Engineering, UMN) | September 17 | Keller 3-180 or via Zoom. |
| Autonomous Aerospace Systems in Shared Spaces, with Yue Yu (Aerospace Engineering and Mechanics, UMN) | September 24 | Keller 3-180 or via Zoom. |
| No seminar this week | October 1 | Keller 3-180 or via Zoom. |
| Estimation and Inference for Assortment Optimization, with Ethan Fang (Biostatistics and Bioinformatics, Duke University) | October 8 | Keller Hall 3-180 and via Zoom. |
| Learning Representations and Associations with Gradient Descent, with Jason Lee (Princeton University) | October 15 | Canceled due to illness |
| Towards a Unified Framework of Neural and Symbolic Decision Making, with Yuandong Tian (Meta AI Research) | October 22 | Keller Hall 3-180 and via Zoom. |
| Control-oriented Clustering of Visual Latent Representation, with Heng Yang (School of Engineering and Applied Sciences, Harvard University) | October 29 | Keller Hall 3-180 and via Zoom. |
| AI for Materials Discovery and Simulation, with Robert Pinsler (Microsoft Research) | November 5 | Keller Hall 3-180 and via Zoom. |
| Recent Advances in Min-max Optimization: Convergence Guarantees and Practical Performance, with Nicolas Loizou (Johns Hopkins University) | November 12 | Keller Hall 3-180 and via Zoom. |
| An ML-based approach to imaging through scattering media, with Christopher Metzler (Computer Science, University of Maryland) | November 19 | Keller Hall 3-180 and via Zoom. |
| Marrying Application-Level Opportunities with Algorithm-Hardware Co-Design Towards Ubiquitous Edge Intelligence, with Katie Zhao (Electrical and Computer Engineering, UMN) | November 26 | Keller Hall 3-180 and via Zoom. |
| Three Episodes of Ablative Research, with Xinlei Chen (Meta AI Research) | December 3 | Keller Hall 3-180 and via Zoom. |
Asymptotic theory of in-context learning by linear attention, with Yue Lu (School of Engineering and Applied Sciences, Harvard) | December 10 | Keller Hall 3-180 and via Zoom. |
Spring 2024
| Title and Speaker | Date | Location |
|---|---|---|
| Statistical tools for analyzing complex networks: nonparametric inference from single to multiple systems, with Tianxi Li (Statistics, UMN) | January 23, 2024 | Virtual seminar via Zoom |
| Understanding Learning in the Age of Foundation Models, with Yu Bai (Salesforce) | January 30, 2024 | Virtual seminar via Zoom; can be viewed in Keller Hall 3-180. |
| Secure Content Moderation for Generative AI, with Neil Gong (EE, Duke) | February 6, 2024 | Virtual seminar via Zoom; can be viewed in Keller Hall 3-180. |
| Towards efficient foundation models via context-awareness and continual pretraining, with Boran Han (AWS AI) | February 27, 2024 | Keller Hall 3-180 and via Zoom. |
| March 5, 2024: SPRING BREAK | ||
| Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models, with Quanquan Gu (CS, UCLA) | March 12, 2024 | Keller Hall 3-180 and via Zoom. |
| Vertical Reasoning Enhanced Learning, Generation and Scientific Discovery, with Yexiang Xue (CS, Purdue) | March 19, 2024 | Keller Hall 3-180 and via Zoom. |
| Scientific Innovations in the Age of Generative AI, with James Zou (Biomedical DS, Stanford) | March 26, 2024 | Keller Hall 3-180 and via Zoom. |
| Policy Learning Methods for Confounded POMDPs, with Zhengling Qi (Decision Sciences, GWU) | April 2, 2024 | Keller Hall 3-180 and via Zoom. |
| Frank-Wolfe-Type Methods for Minimizing Log-Homogenous Self-Concordant Barriers, with Renbo Zhao (Business Analytics, Iowa) | April 9, 2024 | Keller Hall 3-180 and via Zoom. |
| Numerical understanding of neural networks: from representation to learning dynamics, with Hongkai Zhao (Math, Duke) | April 16, 2024 | Keller Hall 3-180 and via Zoom. |
| Beyond Adam: What Optimization Can Help Large Foundation Models, with Tianbao Yang (CS, Texas A&M University) | April 23, 2024 | Keller Hall 3-180 and via Zoom. |
| Constrained Continuous Optimization with First-Order Methods, with Haihao (Sean) Lu (Operations Management, University of Chicago Booth School of Business) | April 30, 2024 | Keller Hall 3-180 and via Zoom. |
Fall 2023
| Title and Speaker | Date | Location |
|---|---|---|
| On the Computational Efficiency of Differentially Private Deep Learning, with Zhiqi Bu (Amazon AWS AI) | September 12, 2023 | Virtual seminar via Zoom; can be viewed in Keller Hall 3-180. |
| Federated Learning: Image, Language, and Beyond, with Ziyue Xu (Nvidia) | Thursday, Sept. 14, 3:00 PM (Special Time) | Keller Hall 3-180 and via Zoom. |
| No seminar | September 19, 2023 | |
| Interpreting and Steering AI Explanations with Interactive Visualizations, with Qianwen Wang (CS&E, UMN) | September 26, 2023 | Keller Hall 3-180 and via Zoom. |
| PAC Privacy: Automatic Privacy Measurement and Control of Data Processing, with Hanshen Xiao (CSAIL, MIT) | October 3, 2023 | Keller Hall 3-180 and via Zoom. |
| Stochastic Variance Reduction Beyond Minimization Problems, with Ahmet Alacaoglu (CS, University of Wisconsin–Madison) | October 10, 2023 | Keller Hall 3-180 and via Zoom. |
| No seminar | October 17, 2023 | |
| Accelerated Gradient Descent via Long Steps, with Benjamin Grimmer (AMS, Johns Hopkins) | October 24, 2023 | Keller Hall 3-180 and via Zoom. |
| Key Challenges in Foundation Models (... and some solutions!), with Volkan Cevher (EPFL/Swiss Federal Institute of Technology Lausanne) | October 31, 2023 | Virtual seminar via Zoom; can be viewed in Keller Hall 3-180. |
| On the Emergence of Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Networks, with Qing Qu (EECS, University of Michigan) | November 7, 2023 | Keller Hall 3-180 and via Zoom. |
| Statistical Inference over Networks: Decentralized Optimization Meets High-Dimensional Statistics, with Aldo Scutari (IE Purdue) | November 14, 2023 | Keller Hall 3-180 and via Zoom. |
| A Geometric Journey into the World of Large Language Models, with Yiqiao Zhong (Statistics, University of Wisconsin–Madison) | November 21, 2023 | Keller Hall 3-180 and via Zoom. |
| Two-scale gradient descent ascent dynamics finds mixed Nash equilibria of continuous games: A mean-field perspective, with Yulong Lu (Math, University of Minnesota) | November 28, 2023 | Keller Hall 3-180 and via Zoom. |
| Secure Content Moderation for Generative AI, with Neil Gong (EE, Duke) | Will be rescheduled next year. | |
| Next Generation Algorithms for Stochastic Optimization with Constraints, with Albert Berahas (IOE, University of Michigan). | December 12, 2023 | Keller Hall 3-180 and via Zoom. |
Spring 2023
Fall 2022
You can view the previous seminars in the Machine Learning Seminar Series Archives.