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.

New for Spring 2024: We are now posting recordings of past seminars on our YouTube channel.

Organizers:

Ju Sun (Chair; CS&E), Mingyi Hong (ECE), Jie Ding (Stats, CLA), Qi Zhang (CEMS), Xuan Bi (IDS, Carlson), Sandra Safo (Biostats, SPH), Qizhi He (CEGE), Zhaosong Lu (ISyE), Saad Bedros (MnDRIVE), Le Peng (Webmaster; CS&E)

CSE DSI Machine Learning Seminar Calendar

Spring 2024

Title and SpeakerDateLocation
Statistical tools for analyzing complex networks: nonparametric inference from single to multiple systems, with Tianxi Li (Statistics, UMN)January 23, 2024Virtual seminar via Zoom
Understanding Learning in the Age of Foundation Models, with Yu Bai (Salesforce)January 30, 2024Virtual seminar via Zoom; can be viewed in Keller Hall 3-180.
Secure Content Moderation for Generative AI, with Neil Gong (EE, Duke)February 6, 2024Virtual 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, 2024Keller 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, 2024Keller Hall 3-180 and via Zoom.
Vertical Reasoning Enhanced Learning, Generation and Scientific Discovery, with Yexiang Xue (CS, Purdue)March 19, 2024Keller Hall 3-180 and via Zoom.
Scientific Innovations in the Age of Generative AI, with James Zou (Biomedical DS, Stanford)March 26, 2024Keller Hall 3-180 and via Zoom.
Policy Learning Methods for Confounded POMDPs, with Zhengling Qi (Decision Sciences, GWU)April 2, 2024Keller 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, 2024Keller Hall 3-180 and via Zoom.
Numerical understanding of neural networks: from representation to learning dynamics, with Hongkai Zhao (Math, Duke)April 16, 2024Keller 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, 2024Keller Hall 3-180 and via Zoom.

Fall 2023

2023-2024 Speaker Schedule
Title and SpeakerDateLocation
On the Computational Efficiency of Differentially Private Deep Learning, with Zhiqi Bu (Amazon AWS AI)September 12, 2023Virtual 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 seminarSeptember 19, 2023 
Interpreting and Steering AI Explanations with Interactive Visualizations, with Qianwen Wang (CS&E, UMN)September 26, 2023Keller Hall 3-180 and via Zoom.
PAC Privacy: Automatic Privacy Measurement and Control of Data Processing, with Hanshen Xiao (CSAIL, MIT)October 3, 2023Keller Hall 3-180 and via Zoom.
Stochastic Variance Reduction Beyond Minimization Problems, with Ahmet Alacaoglu (CS, University of Wisconsin–Madison)October 10, 2023Keller Hall 3-180 and via Zoom.
No seminarOctober 17, 2023 
Accelerated Gradient Descent via Long Steps, with Benjamin Grimmer (AMS, Johns Hopkins)October 24, 2023Keller 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, 2023Virtual 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, 2023Keller Hall 3-180 and via Zoom.
Statistical Inference over Networks: Decentralized Optimization Meets High-Dimensional Statistics, with Aldo Scutari (IE Purdue)November 14, 2023Keller 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, 2023Keller 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, 2023Keller 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, 2023Keller Hall 3-180 and via Zoom.

 

 

Spring 2023

Title and SpeakerDateLocation
Finite Expression Method: A Symbolic Approach for Scientific Machine Learning with Haizhao Yang (Math, Maryland)    January 24, 2023       Virtual seminar via Zoom                 
Speaker TBDJanuary 31, 20233-180 Keller Hall and via Zoom
Speaker TBDFebruary 7, 20233-180 Keller Hall and via Zoom
Speaker TBDFebruary 14, 20233-180 Keller Hall and via Zoom
Speaker TBDFebruary 21, 20233-180 Keller Hall and via Zoom
A User Guide to Low-Pass Graph Signal Processing and its Applications, with Anna Scaglione (ECE, Cornell)February 28, 20233-180 Keller Hall and via Zoom
NO SEMINAR / SPRING BREAKMarch 07, 20233-180 Keller Hall and via Zoom
Speaker TBDMarch 14, 20233-180 Keller Hall and via Zoom
‪Enabling Approaches for Real-Time Deployment, Calibration, and UQ for Digital Twins, with Tan Bui-Thanh‬ (Oden Institute, UT Austin)March 21, 20233-180 Keller Hall and via Zoom
Non-Blackbox Deep Learning for Massive MIMO Wireless Communication Systems with Zhi Ding (ECE, UC Davis)March 28, 20233-180 Keller Hall and via Zoom
STAARpipeline: An All-in-One Rare-Variant Analysis Tool for Biobank-Scale Whole-Genome Sequencing Data, with Zilin Li (Biostat, Indiana U,)April 04, 20233-180 Keller Hall and via Zoom
Tackling Climate Change with Machine Learning, with Priya Donti (Climate Change AI)April 11, 20233-180 Keller Hall and via Zoom
Fast Sampling of Diffusion Models, with Yongxin Chen (Aerospace Engineering, Georgia Tech)April 18, 20233-180 Keller Hall and via Zoom
Reward-free Reinforcement Learning via Sample-Efficient Representation Learning, with Yingbin Liang (ECE, Ohio)April 25, 20233-180 Keller Hall and via Zoom

 

Fall 2022

Title and SpeakerDateLocation
AI for Digital Pathology with Andrew Walker and Dinkar Juyal (PathAI)         September 21, 2022.          Virtual seminar via Zoom                 
Automatic interpretation and control of X-ray diffraction experiments with Chris Bartel (CEMS, UMN)   September 28, 20223-180 Keller Hall and via Zoom
Peptide targeting for novel therapies and cell biology with Hongbo Pang (Pharmaceutics, UMN)October 5, 20223-180 Keller Hall and via Zoom
Assisted Learning: A Learning Framework for Organizations with Limited and Imbalanced Data with Yi Zhao (ECE, Utah) October 12, 20223-180 Keller Hall and via Zoom
The power of adaptivity in representation learning with Aryan Mokhtari (UT Austin) October 19, 20223-180 Keller Hall and via Zoom
Leveraging machine learning and omics toolsets to elucidate genomic determinants of nanoparticle delivery with Natalie Boehnke (CEMS, UMN) October 26, 20223-180 Keller Hall and via Zoom
AI and the Future of Healthcare with Juggy Jagannathan (3M Health)November 2, 20223-180 Keller Hall and via Zoom
NO SEMINARNovember 9, 20223-180 Keller Hall and via Zoom
Robust and Efficient Neural Network Training: A New Bi-level Learning Paradigmwith Sijia Liu (CSE, MSU)November 16, 20223-180 Keller Hall and via Zoom
Machine Learning for Human Development and Family Research: An Overview and an Example with Xiaoran Sun (FSS, CEHD, UMN)November 30, 20223-180 Keller Hall and via Zoom
Optimal No-Regret Learning in Repeated First-Price Auctions with Zhengyuan Zhou (Stern Biz, NYU)December 7, 20223-180 Keller Hall and via Zoom
Clinical natural language processing and deep learning in assisting medical image analysis with Yifan Peng (PHS, Cornell U.)December 14, 20223-180 Keller Hall and via Zoom

You can view the previous seminars in the Machine Learning Seminar Series Archives.