Betty Shea
    Department of Computer Science
    University of British Columbia


Reading group presentation slides (most recent first)

• Machine Learning Reading Group 2022 Winter term 1: Scaling Laws in Language and Vision Models
• Machine Learning Reading Group 2022 Summer term: APDG
• Machine Learning Reading Group 2021 Winter term 2: Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample
• Machine Learning Reading Group 2021 Winter term 1: Optimizing Long-term Social Welfare in Recommender Systems
• Machine Learning Reading Group 2021 Summer term: Predicting Anticancer Hyperfoods with Graph Convolutional Networks
• MK Reading Group 2021 Summer: Momentum
• MK Reading Group 2021 Summer: Line searches
• MK Reading Group 2020 Winter term 2: A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• Machine Learning Reading Group 2020 Winter term 2: How Does Batch Normalization Help Optimization?
• MK Reading Group 2020 Winter term 1: Intrinsic Robustness of the Price of Anarcy
• Machine Learning Reading Group 2020 Winter term 1: Most Tensor Problems are NP-Hard
• Machine Learning Reading Group 2020 Winter term 1: Tensor Applications
• Machine Learning Reading Group 2020 Summer term: Iterative LQR and Guided Policy Search
• Machine Learning Reading Group 2019 Winter term 2: Causal Discovery
• Machine Learning Reading Group 2019 Winter term 1: Implicit Regularization in Matrix Factorization