CSML Lunch Talk Series
The Computational Statistics and Machine Learning (CSML) Lunch Talks will be held on Fridays from 12:30pm to 2.00pm. Additional seminars may be held at different times. Discussions will rotate between three departments: Statistical Science, Gatsby Unit and Computer Science. Anyone from CSML is welcome, but PhD students and postdocs of CS, Statistics and Gatsby departments are particularly encouraged to attend and contribute. The seminar is quite different from other CSML seminars in that
(i) it provides a platform for CSML researchers to present their work to a broader community and obtain useful feedback,
(ii) we encourage the audience to ask more questions to make it more interactive than conventional seminars, and
(iii) we aim for the environment to be more informal and allow junior members to freely participate.
We hope that this seminar series will increase collaborations within CSML. There will be plenty of food, not just for thought :).
The Lunch Talks will start with a lunch at 12.30 and the talk will begin at around 12.45 and is scheduled for one hour (12:45 - 1:45). There will be additional time after the seminar to socialise and discuss later. The slides from the talks are available at their corresponding links (for example, slides from Mark Girolami's talk are available here).
Contact:
CS: Guy Lever
Gatsby: Balaji Lakshminarayanan, Maria Lomeli
Statistics: Anne-Marie Lyne
Usual time: Friday, 12:30 - 14:00
Location (unless otherwise noted): TBA
iCalendar URL:
www.csml.ac.uk/ics/series/7
Upcoming Events
No events found.
Previous Events
| Date | Description |
|---|
| Fri, 10 May 2013 |
Isadora Antoniano-Villalobos (Department of Decision Sciences, Bocconi University, Italy): Bayesian inference for nonparametric mixture models with intractable normalizing constants |
| Fri, 26 Apr 2013 |
Chris Bracegirdle (UCL (CS)): Probabilistic Inference for Changepoints and Cointegration |
| Fri, 05 Apr 2013 |
Robert Jenssen (University of Tromso, Norway): Entropy-Relevant Dimensions in Kernel Feature Space |
| Fri, 22 Mar 2013 |
Vladimir Krylov (UCL): Extraction of geometrical objects from images with MCMC methods |
| Fri, 08 Mar 2013 |
David Silver (UCL): Reinforcement Learning and Simulation-Based Search |
| Fri, 01 Mar 2013 |
Tamara Broderick (University of California, Berkeley): Feature allocations, probability functions, and paintboxes |
| Fri, 22 Feb 2013 |
Matthew Higgs (UCL): A Population Approach to Ubicomp System Design (APAUSD) |
| Fri, 08 Feb 2013 |
Gary Macindoe (UCL): A hybrid Cholesky decomposition algorithm for multicore CPUs with GPU accelerators |
| Fri, 25 Jan 2013 |
Andriy Mnih (UCL): A fast and simple algorithm for training neural probabilistic language models |
| Fri, 11 Jan 2013 |
Ed Challis (UCL): Variational approximate inference in linear latent variable models |
| Thu, 29 Nov 2012 |
Juan Carlos Martinez-Ovando (Banco de México): Non- and semi-parametric construction of stationary dependent models |
| Fri, 23 Nov 2012 |
Ben Calderhead and Simon Byrne (UCL): The use of geometry in MCMC |
| Fri, 09 Nov 2012 |
Steffen Grunewalder (UCL): Conditional Expectation Estimates for Discrete Control |
| Fri, 26 Oct 2012 |
Dino Sejdinovic (UCL): Equivalence of distance-based and RKHS-based statistics in hypothesis testing |
| Fri, 12 Oct 2012 |
Jan Gasthaus (UCL): Hierarchical Bayesian Nonparametric Models for Sequences |
| Fri, 28 Sep 2012 |
Janaina Mourao-Miranda, Jane Maryam Rondina, Maria Joao Rosa (UCL): Machine learning approaches for clinical neuroimaging data |
| Fri, 13 Jul 2012 |
Vinayak Rao (UCL): Efficient MCMC for Continuous Time Discrete State Systems |
| Mon, 02 Jul 2012 |
Yuan (Alan) Qi (Purdue University): Bayesian learning with big data: virtual vector machines and Gaussian processes with sparse eigenval |
| Fri, 22 Jun 2012 |
Adam Sykulski (UCL): Statistical modelling and estimation of physical phenomena in ocean surface trajectories |
| Tue, 12 Jun 2012 |
Shivani Lamba, (Founder/CEO of Chechako) and Marshall Levine, (Wise Counsel for Chechako Ltd): Startup Pitch |
| Mon, 11 Jun 2012 |
Larry Wasserman (Carnegie Mellon University): Discussion |
| Fri, 25 May 2012 |
Gabi Teodoru (UCL): Spectral Learning of Latent Variable Models and its Interpretation as an Optimization Problem |
| Fri, 11 May 2012 |
Tom Furmston (UCL): Gradient-based algorithms for policy search |
| Fri, 27 Apr 2012 |
Mark Girolami (UCL): Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods |
