UIUC Machine Learning Seminar (CS 591 MLR)

Welcome to the Machine Learning Seminar at the University of Illinois Urbana-Champaign!

  • The seminar is part of CS 591 MLR, whose faculty instructors are Arindam Banerjee and Han Zhao. To obtain a passing grade, students are required to participate in at least 75% of the talk. Every recorded question counts as a +5 bonus.
  • For general audience, we have a mailing list that you can subscribe to.

Please find below the information of this semester (Spring 2026).

Physical Location: SC 1214

Zoom: https://illinois.zoom.us/j/89518916999?pwd=KYXs0bth89P9w3avQ0a09OtmcgQnTF.1

Channel link: TBD

Time: Friday 2:00-3:15 PM CT

Mailing List:  uiuc-ml-reading-group@lists.illinois.edu (To Subscribe)

Student Organizers: Weixin Chen, Yuzheng Hu

Dates
Location
Speaker
Affiliation
Title
02/06/2026SC 1214Junwei DengUIUCToward a Transparent and Actionable Data Lifecycle: A Data Attribution Perspective [slides]
02/13/2026SC 1214Ziqi ZhangUIUCHardware-Rooted Secure LLM System
02/20/2026SC 1214Yuji ZhangUIUCKnowledge is Power, But Power Casts Shadows? [slides]
02/27/2026SC 1214Tianxin WeiUIUCToward Personal AI Agents: Learning Under Evolving Interactions [slides]
03/06/2026RemoteEmanuele MarconatoUniversity of TrentoSymbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts [slides]
03/13/2026RemoteJianing ZhuUT AustinSurgical Machine Unlearning: Decoupling Targets, Diagnosing Fragility, and Latent Intervention [slides]
03/20/2026N/AN/ASpring Break
03/27/2026SC 1214Kumar Kshitij PatelYale FDS/Simons InstituteWhen do Score-based Data Valuation Methods Work and Why? [slides]
04/03/2026RemoteOlawale SalaudeenMITCharacterizing When Spurious Correlations and Distribution Shifts Harm Generalization
04/10/2026SC 1214Mengfan XuUMassMulti-objective and Multi-agent Perspectives on Bandit Learning
04/17/2026RemoteFangzhou WuUW MadisonEfficient Capability-Aware LLM Systems: Capability Modeling, Routing, and Load Balancing [slides]
04/24/2026RemoteLifan YuanUIUCFrom f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones [slides]
05/01/2026SC 1214Benjie WangUCLABridging the Formalization Gap in Generative AI

Sites of previous semesters:

Fall 2025

Spring 2025

Fall 2024

Spring 2024

In loving memory of Nathanael Assefa, whose bright spirit was taken from us far too soon. We will forever miss him, both as a brilliant leader and a dear friend.

UIUC Machine Learning Seminar
Email: arindamb@illinois.edu