Events

CAIDA proudly hosts events to engage and connect the BC AI community and beyond.  CAIDA has three ongoing seminar series: AI & Fundamentals, AI & Applications, and AI & Ethics; attracting more than 2000 attendees since September 2019.  CAIDA also hosts larger events: our first AI showcase "Emerging Technologies: BC's AI Showcase" was in November 2020 and had over 700 registrants, and CAIDA’s 2021 Open House had almost 200 registrants.  We look forward to hosting more events to help connect the AI community.  If you would like to be notified about our upcoming events, please contact admin@caida.ubc.ca to be added to our email list.

Past Events

SeminarTrustML in Power Grids: Security, Robustness, and Statistical Risks - Hao Zhu, Associate Professor, University of Texas at Austin
July 15, 2025
SeminarReinforcement Learning With Constraints: From Theory to Reasoning in LLM - Lin Yang, Assistant Professor, UCLA
July 15, 2025
SeminarEfficient Inference of Mixture-of-Experts (MoE)-based Large Models with Theoretical Guarantees - Meng Wang, Professor, Rensselaer Polytechnic Institute
July 15, 2025
SeminarBuilding Safe Embodied AI Systems - Qi Zhu, Professor, Northwestern University
July 15, 2025
SeminarProviding Explanations for Unsupervised Graph Learning Models - Hogun Park, Associate Professor, Sungkyunkwan University
July 15, 2025
SeminarChallenges and Opportunities for Federated Learning in the Age of Foundation Models - Han Yu, Associate Professor, Nanyang Technological University
July 15, 2025
SeminarRandomized Asymmetric Chain of LoRA - Grigory Malinovsky, PhD student, King Abdullah University
July 21, 2025
SeminarBridge theory and practice: One-step full gradient could suffice for low-rank fine-tuning in LLMs, provably and efficiently - Fanghui Liu, Assistant Professor, Warwick University
July 21, 2025
SeminarLearning to Unlearn: Robust and Efficient Machine Unlearning for Large Foundation Models - Moontae Lee, Assistant Professor, University of Illinois Chicago
July 15, 2025
SeminarExploring Trustworthy Foundation Models: Benchmarking, Finetuning and Reasoning - Bo Han, Associate Professor, Hong Kong Baptist University
July 15, 2025
SeminarExploring the Generative Utilities of Quantum Differential Equation Solvers - Pooya Ronagh, Research Assistant Professor, University of Waterloo, Chief Technology Officer at 1QBit
June 24, 2025
SeminarCausal Inference with Unstructured Data - Yixin Wang, Assistant Professor, University of Michigan
March 4, 2025
SeminarContrastive Learning for ML-guided MIP search - Bistra Dilkina, Associate Professor, University of Southern California
December 16, 2024
SeminarGenerative World Modeling for Embodied Agents - Sherry Yang, Assistant Professor, NYU
December 16, 2024
SeminarHighly Accurate Predictions on Small Data with the Tabular Foundation Model TabPFN - Frank Hutter, Professor, University of Freiburg
December 16, 2024
SeminarEfficient Fine-tuning via Model Reprogramming - Feng Liu, Assistant Professor, University of Melbourne
December 16, 2024
SeminarAdvancing Multimodal Vision-Language Learning - Aishwarya Agrawal, Assistant Professor, University of Montreal
December 16, 2024
SeminarPredicting human decisions with behavioral theories and machine learning - Ori Plonsky, Assistant Professor, Technion-Israel Institute of Technology
December 16, 2024
SeminarLLM Processes: Numerical Predictive Distributions Conditioned on Natural Language - James Requeima, Postdoctoral Fellow, University of Toronto
December 16, 2024
SeminarTuning Free (inference time) Alignment of Large Language Models - Amrit Singh Bedi, Assistant Professor, University of Central Florida
December 16, 2024
SeminarStochastic Approximation Algorithms with Decision-Dependent Data: The Case of Performative Prediction - Hoi-To Wai, Assistant Professor, CUHK
December 13, 2024
SeminarRecent Development of Generative AI Focused on Computer Vision - Dongjun Kim, Postdoctoral Scholar, Stanford University
December 9, 2024
SeminarEntropy-regularized optimal transport and its connection with score estimation - Soumik Pal, Professor, University of Washington
November 25, 2024
SeminarUsing Algorithms to Understand Transformers (and Using Transformers to Understand Algorithms) - Vatsal Sharan, Assistant Professor, University of Southern California
December 6, 2024
SeminarWhen Should Reinforcement Learning Use Causal Reasoning? - Oliver Schulte, Professor, Simon Fraser University
November 18, 2024