The 2017 conference schedule is below:
Day 1: Monday 26 June 2017
09.00 - | Registration desk opens |
09.25 – 09.30 | Dean’s Opening Remarks - Prof Ivan Parkin, Dean of UCL Mathematics & Physical Sciences Faculty |
09.30 - 09.40 | Conference Chairs’ Opening Remarks – Prof Sofia Olhede & Prof Patrick Wolfe (UCL Centre for Data Science) |
09.40 – 10.20 | Tensors & Statistical Modelling – Low rank tensor completion - Prof Ming Yuan (University of Wisconsin-Madison) |
10.20 – 11.00 | Tensors & Statistical Modelling - Adaptive inference for matrices and tensors – Prof Peter Hoff (Duke University) – view slides |
11.00 – 11.30 | Coffee |
11.30 – 12.10 | Tensors & Statistical Modelling – Dealing with curse and blessing of dimensionality through tensor decompositions - Prof Lieven De Lathauwer (KU Leuven) – view slides |
12.10 – 12.50 | Tensors & Statistical Modelling - Scaling Latent Quantities from Text: From Black-and-White to Shades of Gray – Dr Patrick Perry (NYU Stern) |
12.50 – 14.00 | Lunch |
14.00 – 14.40 | Privacy-preserving inference – Towards Encrypted Inference for Arbitrary Models - Dr Louis Aslett (Durham) |
14.40 – 15.20 | Privacy-preserving inference – M2L: Bringing the Machine into the loop of Machine Learning - Prof Farinaz Koushanfar (UCSD) |
15.20 – 16.00 | Privacy-preserving inference - Building and Measuring Privacy-Preserving Mobility Analytics - Dr Emiliano de Cristofaro (UCL) – view slides |
16.00 – 17.00 | Afternoon tea and networking |
Day 2: Tuesday 27 June 2017
08.45 - | Registration desk opens |
09.05 – 09.10 | Opening remarks, day 2 – Prof Patrick Wolfe & Prof Sofia Olhede (UCL Centre for Data Science) |
09.10 - 09.50 | Challenges in spatial & temporal analysis – Big Data in Cosmology - Dr Jason McEwen (UCL) – view slides (slides will appear in due course) |
09.50 - 10.30 | Challenges in spatial & temporal analysis: Spectal filtering for spatial-temporal dynamics - Dr Tian Zheng (Columbia) – view slides |
10.30 – 11.00 | Coffee |
11.00 – 11.40 | Challenges in spatial & temporal analysis – Network Time Series – Prof Guy Nason (Bristol) – view slides |
11.40 - 12.20 | Challenges in spatial & temporal analysis – Evaluating modules in molecular networks in light of annotation bias - Prof Charlotte Deane (Oxford) |
Turing Gateway to Mathematics event: Data Sharing & Governance
12.20 - 13.30 | Registration, Lunch and Tea/Coffee |
13.30 - 13.50 | Welcome and Introduction – Jane Leeks (Turing Gateway to Mathematics) / Profs Patrick Wolfe & Sofia Olhede (University College London) Setting the scene, Royal Society & British Academy Data Governance Project, etc. |
13.50 – 14.20 | Big Data and Data Sharing (Prof David Hand, Imperial) |
14.20 – 14.50 | Using Data from Healthcare and other Public Services (Prof Ruth Gilbert, UCL) |
14.50 – 15.10 | Cross-industry data sharing collaboration (Thomas Nielson, Tesco Digital) |
15.10 – 15.30 | Tea |
15.30 – 15.50 | The Opportunity to Leverage Electronic Health and Medical Records (Tom O’Leary, Icon PLC) |
15.50 – 16.20 | Sharing Consumer Data (Paul Longley, UCL) |
16.20 – 16.50 | Statistics and Research for the Public Good: Principles and Safeguarding Public Trust (Ross Young & Peter Stokes, ONS) |
16.50 – 17.10 | Questions and wrap-up |
17.10 – 18.10 | Networking and Drinks Reception |
Day 3: Wednesday 28 June 2017
08.45 - | Registration desk opens |
09.10 – 09.15 | Opening remarks, day 3 – Prof Sofia Olhede & Prof Patrick Wolfe (UCL Centre for Data Science) |
09:15 – 10:15 | Plenary - Data, data everywhere, but let’s just stop and think - Prof David Hand (Imperial College London) – view slides |
10.15 – 10.45 | Break |
10.45 - 12.30 | Short Contributed talks (15 mins each + 5 mins questions) 1. The Finite-Set Independence Criterion (Jitkrittum et al.) – view abstract 2. Quantile Graphical Models: Prediction and Conditional Independence with Applications to Financial Risk Management (Belloni et al.) – view abstract 3. Poisson intensity estimation with reproducing kernels (Flaxman et al.) – view abstract 4. What are the true clusters? (Hennig) – view abstract 5. Statistical Inference for Pairwise Graphical Models Using Score Matching (Yu et al.) – view abstract |
12.30 – 14.00 | Lunch and Poster Presentations – view Poster abstracts |
14.00 - 14.40 | High-dimensional estimation and learning – Exponentially Weighted Aggregate with the Laplace Prior – Prof Arnak Dalalyan (ENSAE ParisTech) – view slides |
14.40 – 15.20 | High-dimensional estimation and learning – Overlapping Variable Clustering with Statistical Guarantees – Prof Marten Wegkamp (Cornell) |
15.20 – 15.50 | Tea |
15.50 – 16.30 | High-dimensional estimation and learning - Large-scale and supersaturated studies: statistical considerations – Dr Heather Battey (Imperial) |
16.30 – 17.10 | High-dimensional estimation and learning – Interpretable features to compare distributions in linear time - Dr Arthur Gretton (UCL) – view slides |
17.10 – 17.15 | Closing Remarks (Profs Sofia Olhede & Patrick Wolfe, UCL) |