Betty Shea
Department of Computer Science
University of British Columbia
Reading group presentation slides (most recent first)
Machine Learning Reading Group 2024 Summer term:
Greedy Layerwise Training Can Scale to ImageNet
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
Other slides (most recent first)
SFU PIMS CORD seminar 2024:
Why Line Search when you can Plane Search?
ISMP 2024:
Why Line Search when you can Plane Search?