General Event
CAIDA/TrustML 2025 ICML Visits
DATE: Tue, July 15, 2025 - 9:30 am
LOCATION: UBC Vancouver Campus, Fried Kaiser (KAIS) building, Room 2020/2030, 2332 Main Mall
DETAILS
We are excited to announce that CAIDA and the Trustworthiness of Machine-Learning-Based Systems (TrustML) Research Cluster are organizing a UBC-hosted event collocated with ICML 2025. The event will take place on July 15 and will be attended by several international speakers, providing excellent opportunities for networking with the research community in this field.
Please Register Here
Please Register by 4pm on July 9th so that we can estimate food quantities.
Tentative Program
*Pacific Standard Time (US & Canada)
9:30
Qi Zhu, Northwestern University
Building Safe Embodied AI Systems
10:15
Han Yu, Nanyang Technology University
Challenges and Opportunities for Federated Learning in the Age of Foundation Models
11:00
Coffee Break and Poster Session
11:30
Bo Han, Hong Kong Baptist University
Exploring Trustworthy Foundation Models: Benchmarking, Finetuning, and Reasoning
12:15
Moontae Lee, University of Illinois Chicago
Learning to Unlearn: Robust and Efficient Machine Unlearning for Large Foundation Models
1:00
Lunch and Poster Session
2:00
Meng Wang, Rensselaer Polytechnic Institute
Efficient Inference of Mixture of Experts (MoE)-based Large Models with Theoretical Guarantees
2:45
Lin Yang, UCLA
Reinforcement Learning With Constraints: From Theory to Reasoning in LLM
3:30
Coffee Break and Poster Session
4:00
Hao Zhu, UT Austin
TrustML in Power Grids: Security, Robustness, and Statistical Risks
4:45
Hogun Park, Sungkyunkwan University
Providing Explanations for Unsupervised Graph Learning Models
This program is subject to change