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LSE PhD Machine Learning Reading Group

Student Members

Name Presentation Counts
Christine 1
Jialin 1
Anica 0
Despoina 1
Yiliu 1
Filippo 0
Kaifang 1
Patrick 1
Sahoko 1
Yirui 0
Shakeel 1
Camilo 0
Tianlin 1
Weilin 0

Staff Members

Milan, Kostas, Yining, Xinghao, Chengchun

Meeting Schedule

Michaelmans Term 2019-2020

The reading group sessions take place every second Monday, 13:00-14:00, Leverhulme library, Department of Statistics, 6th Floor, Columbia House. Lunch will also be available.

# Date Topic Discussion lead
1 4th Nov, 2019 Wasserstein GAN Tianlin Xu
2 18th Nov, 2019 Attention-based Deep Multiple Instance Learning Yiliu Wang
3 2nd Dec, 2019 Deep Residual Learning for Image Recognition Christine Yuen

Lent Term 2019-2020

The reading group sessions take place every second Wednesday, 12:30-14:00, Leverhulme library, Department of Statistics, 6th Floor, Columbia House. Lunch will also be available.

# Date Topic Discussion lead
1 5th Feb, 2020 A Tutorial on Thompson Sampling Jialin Yi
2 19th Feb, 2020 Learning Deep Kernels for Exponential Family Densities Kevin Li(External: Gatsby Unit)
3 4th Mar, 2020 Automatic Differentiation Variational Inference Patrick Aschermayr
4 18th Mar, 2020 Cancelled Sahoko Ishida
5 1st Apr, 2020 Cancelled Shakeel Gavioli-Akilagun

Michaelmans Term 2020-2021

The reading group sessions take place every second Wednesday, 15:00-16:00, via Zoom.

# Date Topic Discussion lead
1 28th Sep, 2020 Kernel Mean Embedding of Distributions: A Review and Beyond Sahoko Ishida
2 14th Oct, 2020 Deep State Space Models for Time Series Forecasting Shakeel Gavioli-Akilagun
3 28th Oct, 2020 A Random Forest Guided Tour Despoina Makariou
4 11th Nov, 2020 Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models Kaifang Zhou
5 25th Nov, 2020 Topological Data Analysis and Harnessing the power of Topological Data Analysis to detect change points in time series Anica Kostic

Paper Sources

NeurIPS(NIPS) Proceedings

ICML, AISTATS and etc.

ICLR Proceedings

AAAI Proceedings

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LSE PhD Machine Learning Reading Group

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