July - December 1997
Organisers: C M Bishop (Aston), D Haussler (UCSC), G E Hinton (Toronto), M Niranjan (Cambridge), L G Valiant (Harvard)
10.00-11.00 M Niranjan (Cambridge)
Bayesian methods in nonlinear signal processing
11.00-11.30 Coffee
11.30-12.30 C Bishop (Microsoft Research)
Ensemble learning
12.30-14.00 Lunch
14.00-15.00 C Rasmussen (Toronto)
Gaussian processes
15.00-15.30 Tea
15.30-18.00 Poster Session
17.00-18.00 Wine Reception
10.00-11.00 CK Williams (Aston)
Gaussian processes
11.00-11.30 Coffee
11.30-12.30 S Luttrell (DERA)
Optimal posterior probabilities in soft-encoder networks
12.30-14.00 Lunch
14.00-15.00 J Shawe-Taylor (Royal Hollaway)
A PAC analysis of a Bayesian estimator
15.00-15.30 Tea
15.30-16.30 D Haussler (UCSC)
From bayes to worst case
16.45-17.45 M Opper (Aston)
From bayes to worst case
10.00-11.00 S Russell (Berkeley)
Probabilistic models of comples processes
11.00-11.30 Coffee
11.30-12.30 A Gelman (Columbia)
Checking the fit of complex models
12.30-14.00 Lunch
14.00-15.00 P Green (Bristol)
Variable dimension MCMC: change-points and mixtures
15.00-15.30 Tea
15.30-16.30 T Richardson (Washington)
Graphical models with interpretable structure
16.45-17.45 R Rohwer (HNC)
Bayesian theory of RAMnets
Thursday 18 December
10.00-11.00 S-I Amari (Tokyo)
Independent component analysis
11.00-11.30 Coffee
11.30-12.30 T Sejnowski (Salk Inst.)
Independent component analysis
12.30-14.00 Lunch
14.00-15.00 D MacKay (Cambridge)
Independent component analysis
15.00-15.30 Tea
15.30-16.30 J Karhunen (Helsinki)
Neural independent component analysis and blind source separation -
some new results
16.45-17.45 J-F Cardoso (ENST)
Likelihood approximations for ICA and the use of prior information
19.00- . Conference Dinner
10.00-11.00 Y Singer (AT&T)
Bayesian methods in stock markets
11.00-11.30 Coffee
11.30-12.30 W Fitzgerald (Cambridge)
Signal processing
12.30-14.00 Lunch
14.00-15.00 D Saad (Aston)
Evidenc, MAP and the generalization error - a statistical mechanical
perspective
15.00-15.30 Tea
15.30-16.30 G Hinton (Toronto)
TBA
16.45-17.45 M Feder (Technion)
TBA
This workshop will form a component of the Newton Institute programme on Neural Networks and Machine Learning, organised by C M Bishop, D Haussler, G E Hinton, M Niranjan and L G Valiant.