Statistical scalability

Statistical scalability's image
Created: 2018-01-16 12:48
Institution: Isaac Newton Institute for Mathematical Sciences
Description: Programme Theme
We are living in the information age. Modern technology is transforming our ability to collect and store data on unprecedented scales. From the use of Oyster card data to improve London's transport network, to the Square Kilometre Array astrophysics project that has the potential to transform our understanding of the universe, `Big Data' can inform and enrich many aspects of our lives. Given the prospects of transformational advances to standard practice in a plethora of data-rich industries, government agencies, science and technology, it is unsurprising that Big Data is currently receiving such a high level of media publicity.

Of course, the important role of statistics within Big Data has been clear for some time. However the current tendency has been to focus purely on algorithmic scalability, such as how to develop versions of existing statistical algorithms that scale better with the amount of data. Such an approach, however, ignores the fact that fundamentally new issues often arise, and highly innovative solutions are required. In particular, the thesis of this programme is that it is only by simultaneous consideration of the methodological, theoretical and computational challenges involved that we can hope to provide robust, scalable methods that are crucial to unlocking the potential of Big Data.
 

Media items

This collection contains 28 media items.

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Media items

A compositional approach to scalable statistical modelling and computation

   3 views

Wilkinson, D
Thursday 8th February 2018 - 11:00 to 12:00

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 12 Feb 2018


A Hybrid Block Bootstrap For Sample Quantiles Under Weak Dependence

   2 views

Young, A
Tuesday 20th February 2018 - 11:00 to 12:00

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 20 Feb 2018


Adaptation in log-concave density estimation

   5 views

Kim, A
Tuesday 13th February 2018 - 11:00 to 12:00

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 13 Feb 2018


An Instability in Variational Methods for Learning Topic Models

   26 views

Montanari, A
Tuesday 16th January 2018 - 09:00 to 09:45

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 17 Jan 2018


Asymptotics for ABC algorithms

   11 views

Rousseau, J
Thursday 18th January 2018 - 14:00 to 14:45

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 19 Jan 2018


Falkon: fast and optimal kernel method for large scale machine learning

   12 views

Rudi, A
Friday 19th January 2018 - 09:00 to 09:45

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 19 Jan 2018


Information-theoretic perspectives on learning algorithms

   0 views

Jog, V
Thursday 22nd February 2018 - 11:00 to 12:00

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 23 Feb 2018


Learning determinantal point processes

   23 views

Rigollet, P
Friday 19th January 2018 - 09:45 to 10:30

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 19 Jan 2018


Learning from mistakes - learning optimally sparse image filters by quotient minimisation

   7 views

Schönlieb, C
Wednesday 17th January 2018 - 11:45 to 12:30

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 17 Jan 2018


Nonlinear Models for Matrix Completion

   13 views

Willett, R
Wednesday 17th January 2018 - 11:00 to 11:45

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 17 Jan 2018


On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex

   38 views

Jordan, M
Monday 15th January 2018 - 10:00 to 10:45

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 16 Jan 2018


Optimal and efficient learning with random features

   13 views

Rosasco, L
Wednesday 17th January 2018 - 09:45 to 10:30

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 17 Jan 2018


Optimal Covariance Change Point Detection in High Dimension

   16 views

Yu, Y
Thursday 18th January 2018 - 09:00 to 09:45

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 19 Jan 2018


Optimal Link Prediction with Matrix Logistic Regression

   11 views

Berthet, Q
Tuesday 16th January 2018 - 14:00 to 14:45

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 17 Jan 2018


Revisiting Huber’s M-Estimation: A Tuning-Free Approach

   26 views

Zheng, C
Tuesday 30th January 2018 - 11:00 to 12:00

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 30 Jan 2018


Robust inference with the knockoff filter

   21 views

Foygel Barber, R
Monday 15th January 2018 - 11:10 to 11:5

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 16 Jan 2018


Sharpness, Restart and Compressed Sensing Performance

   13 views

d'Aspremont, A
Wednesday 17th January 2018 - 09:00 to 09:45

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 17 Jan 2018


Small Big Data: Temporal structure in discrete time series

   11 views

Kontoyiannis, I
Thursday 18th January 2018 - 11:45 to 12:30

Collection: Statistical scalability

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Fri 19 Jan 2018


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