### Machine Learning & Statistics Reading Group

Weekly on Wednesdays 13:00-14:00

- Classification Accuracy as a Proxy for Two Sample Testing (led by Yi Yu)

https://arxiv.org/abs/1602.02210

Wednesday 13th September 2017, 13:00-14:00

Main Mathematics Building, Boardroom - Consistency of Random Forests (led by Patrick Rubin-Delanchy)

https://arxiv.org/abs/1405.2881

Wednesday 20th September 2017, 13:00-14:00

Main Mathematics Building, Boardroom - The Mondrian Kernel (led by Sam Livingstone)

https://arxiv.org/abs/1606.05241

Wednesday 5th October 2017, 13:00-14:00

Main Mathematics Building, Boardroom - Controlling the false discovery rate via knockoffs (led by Haeran Cho)

https://projecteuclid.org/euclid.aos/1438606853

https://statweb.stanford.edu/~candes/papers/MF_knockoffs.pdf

Wednesday 11th October, 13:00-14:00

Main Mathematics Building, Boardroom - Sparse precision matrix estimation (led by Yi Yu)

– node wise regression https://arxiv.org/pdf/math/0608017.pdf

– graphical lasso http://www.columbia.edu/~my2550/papers/graph.final.pdf

– clime http://www-stat.wharton.upenn.edu/~tcai/paper/Precision-Matrix.pdf

– adaptive clime https://arxiv.org/abs/1212.2882

Wednesday 25th October, 13:00-14:00

Main Mathematics Building, SM4 - Learning the differences between two graphical models (led by Song Liu)

Wednesday 8th November 2017, 13:00-14:00

Main Mathematics Building, SM4 -
Decomposable graph laws (led by Peter Green)

http://arxiv.org/abs/1705.00554Wednesday 15th November 2017, 13:00-14:00

Main Mathematics Building, SM3 - Feedforward neural networks and backpropagation (led by Patrick Rubin-Delanchy)

https://www.nature.com/articles/nature14539

30th November 2017, 13:00 – 14:00

Main Maths Building, SM3 - NIPS 2017 Report (led by Song Liu)

13th December 2017, 13:00 – 14:00

Main Maths Building, SM2 - Signal-plus-noise matrix models: eigenvector deviations and fluctuations via the two-to-infinity norm with statistical applications (led by Joshua Cape)

https://arxiv.org/abs/1705.10735; https://arxiv.org/abs/1802.00381; https://arxiv.org/abs/1710.10936

Wednesday 21st March 2018, 13:00-14:00

Chemistry room E204 - Topological Data Analysis Review (led by Patrick Rubin-Delanchy)

https://www.annualreviews.org/doi/pdf/10.1146/annurev-statistics-031017-100045

Wednesday 23rd May 2018, 13:00-14:00

Howard House 4th Floor seminar room - Daniel Sussman (Boston University)

Wednesday 20th June, 13:00-14:00, Howard House 4th Floor seminar room

Title: Multiple Network Inference: From Joint Embeddings to Graph Matching - Topological Data Analysis II (led by Vinesh Solanki)

Wednesday 11th July 2018, 13:00-14:00

Venue TBC - Gaussian Processes and our lost friend the Factor Graph (led by Carl Henrik Ek)
- Wednesday 17th October 2018, 14:00-15:00, Main Maths Building, PC2
- Abstract: A Gaussian process is a non-parametric stochastic process that defines a global covariance structure across an infinite input domain. Defined by interpretable co-variance functions they provide flexible yet strong regularisation which facilitates learning from small amounts of data. In this talk I will first provide an introduction to Gaussian processes from a machine learning perspective, and show how efficient inference can be performed by formulating a bound on the marginal likelihood. I will then show recent work on combining Gaussian processes with Factor graphs with application in time series alignment and Bayesian optimisation.

- High-dimensional Probability I (led by Yi Yu)
- Wednesday 31st October 2018, 15.40-16.40
- Tyndalls Park Rd 30-32.

- High-dimensional Probability II (led by Tobias Kley)
- Wednesday 14th November 2018, 15.40-16.40
- Tyndalls Park Rd 30-32.

- High-dimensional Probability III (led by Tobias Kley)
- Wednesday 21th November 2018, 15.40-16.40
- Tyndalls Park Rd 30-32.

- High-dimensional Probability IV (led by Ayalvadi Ganesh)
- Wednesday 30th January 2019, 12.00-13.00
- Tyndalls Park Rd 30-32.

- High-dimensional Probability V (led by Yi Yu)
- Wednesday 6th February 2019, 12.00-13.00
- 4th Floor Seminar Room, Howard House

- High-dimensional Probability VI (led by Tobias Kley)
- Wednesday 13th February 2019, 12.00-13.00
- 2th Floor Seminar Room, Howard House

- High-dimensional Probability VII (led by Vinesh Solanki)
- Wednesday 20th February 2019, 12.00-13.00
- 2th Floor Seminar Room, Howard House

- High-dimensional Probability VIII (led by Yi Yu)
- Wednesday 27th February 2019, 12.00-13.00
- 2th Floor Seminar Room, Howard House

- High-dimensional Probability IX (led by Yi Yu)
- Wednesday 6th March 2019, 12.00-13.00
- 2th Floor Seminar Room, Howard House

- High-dimensional Probability X (led by Ayalvadi Ganesh)
- Wednesday 13th March 2019, 12.00-13.00
- 2th Floor Seminar Room, Howard House

- High-dimensional Probability XI (led by Song Liu)
- Wednesday 20th March 2019, 12.00-13.00
- 2th Floor Seminar Room, Howard House

### Monte Carlo Reading Group

Weekly on Thursdays 13:00-14:00

- Week 7-10 Metastability and multi-modality (led by Mathieu Gerber)
- Week 3-6: Non-reversible Markov chain methods (led by Christophe Andrieu and Samuel Livingstone)
- Week 2: Transport Maps (led by Nick Whiteley)

### Statistics and Probability Students Group

Fortnightly 14:00-15:00 in PC2

- 3 November – EM algorithm (led by Kathryn Leeming)
- 17 November – Connectivity in temporal networks with a non-uniform deployment of devices (led by Pete Pratt)
- 1 December – LASSO (led by Bertrand Nortier)