Meetings Archive

##2015

Date	Presenter	Topic	Materials
Fri, 04/12/2015, 10am, OCGF seminar room	Krikamol Muandet	Towards a Learning Theory of Cause-Effect Inference	arxiv
Tue, 01/12/2015, 10am, OCGF seminar room	Krikamol Muandet	Kernel Mean Shrinkage Estimators (and friends)	arxiv
23/11/2015	Xiaoyu Lu	Feature Hashing for Large Scale Multitask Learning	pdf
16/11/2015	Dino Sejdinovic	Spherical Random Features for Polynomial Kernels	pdf
09/11/2015	no meeting
02/11/2015	Heiko Strathmann	Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families	paper, blogpost, Og1, Og2
26/10/2015	Seth Flaxman	Bayesian Kernel Models	main focus: paper 1 supplementary paper 2
19/10/2015 3.30pm	Tamara Fernandez-Aguilar	Posterior Consistency in Nonparametric Regression Problems under Gaussian Process Priors	paper
12/10/2015	Qinyi Zhang	Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations	paper
05/10/2015 3.30pm	Jovana Mitrovic	Two-stage Sampled Learning Theory on Distributions	[DistReg] (http://arxiv.org/abs/1402.1754)
28/09/2015	no meeting
21/09/2015 2pm	Martin Strazar	Learning the kernel matrix via predictive low-rank approximations
14/09/2015	Gianni Franchi	Invariant Scattering Convolution Networks	paper 1, paper 2
07/09/2015	Zhu Li	On the Error of Random Fourier Features	paper
31/08/2015	no meeting
24/08/2015	Dan Fess	Determinantal Point Processes	paper
17/08/2015	Zoltan Szabo	Sketching for least squares problems and kernel ridge regression	paper1, paper2
10/08/2015	no meeting
03/08/2015	Francois-Xavier Briol	On the Equivalence between Quadrature Rules and Random Features	Bach2015
27/07/2015	no meeting
20/07/2015	Dino Sejdinovic	Random Features + Fastfood	Rahimi&Recht, FastFood
13/07/2015	Thibaut Lienart	Kernel Embeddings of Conditional Distributions	SigProcMag paper
06/07/2015	Dino Sejdinovic	Basic RKHS theory	notes, slides 1, slides 2