Gatsby Unit Seminars
External seminar series of the Gatsby Computational Neuroscience Unit. See here for more information.
Contact: Yee Whye Teh
Usual time: Wednesday, 16:00 - 17:00
Location (unless otherwise noted): B10, Alexandra House
iCalendar URL:
www.csml.ac.uk/ics/series/1
Upcoming Events
No events found.
Previous Events
| Date | Description |
|---|
| Wed, 20 Feb 2013 |
Zoubin Ghahramani (University of Cambridge): Bayesian nonparametric modelling of networks |
| Wed, 30 Jan 2013 |
Neil Lawrence (University of Sheffield): Deep Gaussian Processes |
| Wed, 28 Nov 2012 |
Charles Sutton (University of Edinburgh): Quasi-Newton Methods and Continuous Relaxations for MCMC |
| Wed, 14 Nov 2012 |
Wicher Bergsma (LSE): Nonparametric testing of conditional independence |
| Wed, 31 Oct 2012 |
Roger Grosse (MIT): Model selection in a large compositional space |
| Tue, 03 Jul 2012 |
Inderjit S. Dhillon (The University of Texas at Austin): Fast Coordinate Descent Methods with Variable Selection for Non-negative Matrix Factorization |
| Mon, 02 Jul 2012 |
Yoshua Bengio (University of Montreal): Sampling from Auto-Encoders performing Manifold Learning and Implicit Density Estimation |
| Fri, 22 Jun 2012 |
Steven C.H. Hoi (Nanyang Technological University): Online Learning for Mining Big Media Data |
| Wed, 23 May 2012 |
Marc Toussaint (FU Berlin): Optimal control and model-free Reinforcement Learning as KL minimization |
| Wed, 11 Apr 2012 |
Bert Kappen (Radboud University Nijmegen): Path Integral Reinforcement Learning |
| Mon, 02 Apr 2012 |
Zaid Harchaoui (INRIA Rhone-Alpes): Learning with matrix gauge regularization penalty |
| Wed, 14 Mar 2012 |
Iain Murray (University of Edinburgh): Sampling hierarchical latent Gaussian models |
| Mon, 12 Mar 2012 |
Lorenzo Rosasco (Massachusetts Institute of Technology and Istituto Italiano di Tecnologia): Learning Functions and (Data) Sets with Spectral Regularization |
| Wed, 29 Feb 2012 |
Sumeettpal Singh (University of Cambridge): Parameter Estimation for Hidden Markov Models with Intractable Likelihoods |
| Wed, 22 Feb 2012 |
Vikash Mansinghka (MIT): How to be stochastic about probabilistic programming, and why it is worth the trouble |
| Wed, 15 Feb 2012 |
Danny Bickson (Carnegie Mellon University): Large scale iterative computation using GraphLab |
