Fetching the paper…
Reading the bibliography…
We introduce a new regression framework, Gaussian process regression networks (GPRN), which combines the structural properties of Bayesian neural networks with the non-parametric flexibility of Gaussian processes.
On the theory of brownian motion
Uhlenback, G. and Ornstein, L. (1930) · 1930
Earlier work this paper cites.
The Bayesian approach to the rejection of outliers
De Finetti, B. (1956) · 1956
Earlier work this paper cites.
A unifying view of sparse approximate gaussian process regression
Quiñonero-Candela, J. and Rasmussen, C. (2005) · 1959
Earlier work this paper cites.
Handbook of mathematical functions with formulas, graphs, and mathematical tables
Abramowitz, M. and Stegun, I. (1964) · 1964
Earlier work this paper cites.
Posterior expectations for large observations
Dawid, A. (1973) · 1973
Earlier work this paper cites.
Mining geostatistics
Journel, A. and Huijbregts, C. (1978) · 1978
Earlier work this paper cites.
On outlier rejection phenomena in Bayes inference
O’Hagan, A. (1979) · 1979
Earlier work this paper cites.
A capital asset pricing model with time-varying covariances
Bollerslev, T., Engle, R. F., and Wooldridge, J. M. (1988) · 1988
Earlier work this paper cites.
Wishart processes
Bru, M. (1991) · 1991
Earlier work this paper cites.
Statistics for spatial data (wiley series in probability and statistics)
Cressie, N. (1993) · 1993
Earlier work this paper cites.
Multivariate stochastic variance models
Harvey, A., Ruiz, E., and Shephard, N. (1994) · 1994
Earlier work this paper cites.
Automatic relevance determination for neural networks
MacKay, D. and Neal, R. (1994) · 1994
Earlier work this paper cites.
Multivariate simultaneous generalized ARCH
Engle, R. and Kroner, K. (1995) · 1995
Earlier work this paper cites.
Blackbox kriging: spatial prediction without specifying variogram models
Barry, R. and Jay, M. (1996) · 1996
Earlier work this paper cites.
Bayesian learning for neural networks
Neal, R. (1996) · 1996
Earlier work this paper cites.
Evaluation of Gaussian Processes and Other Methods for Non-linear Regression
Rasmussen, C. E. (1996) · 1996
Earlier work this paper cites.
Bayesian Gaussian Process for Regression and Classification
Gibbs, M. (1997) · 1997
Earlier work this paper cites.
Geostatistics for natural resources evaluation
Goovaerts, P. (1997) · 1997
Earlier work this paper cites.
Monte Carlo implementation of Gaussian process models for Bayesian regression and classification
Neal, R. (1997) · 1997
Earlier work this paper cites.
Regression with input-dependent noise: A Gaussian process treatment
Goldberg, P. W., Williams, C. K., and Bishop, C. M. (1998) · 1998
Earlier work this paper cites.
Benchmarks and software standards: A case study of GARCH procedures
McCullough, B. and Renfro, C. (1998) · 1998
Cited alongside, same era.
Constructing and fitting models for cokriging and multivariable spatial prediction
Ver Hoef, J. and Barry, R. (1998) · 1998
Cited alongside, same era.
An introduction to variational methods for graphical models
Jordan, M., Ghahramani, Z., Jaakkola, T., and Saul, L. (1999) · 1999
Cited alongside, same era.
Sparse representation for gaussian process models
Csató, L. and Opper, M. (2001) · 2000
Cited alongside, same era.
Gaussian process networks
Friedman, N. and Nachman, I. (2000) · 2000
Cited alongside, same era.
Benchmarks and the accuracy of GARCH model estimation
Brooks, C., Burke, S., and Persand, G. (2001) · 2001
Cited alongside, same era.
Most likely heteroscedastic gaussian process regression
Kersting, K., Plagemann, C., Pfaff, P., and Burgard, W. (2007) · 2007
Later among the works it cites.
Gaussian process product models for nonparametric nonstationarity
Adams, R. and Stegle, O. (2008) · 2008
Later among the works it cites.
Sparse convolved Gaussian processes for multi-output regression
Alvarez, M. and Lawrence, N. (2008) · 2008
Later among the works it cites.
Multi-task Gaussian process prediction
Bonilla, E., Chai, K., and Williams, C. (2008) · 2008
Later among the works it cites.
Towards real-time information processing of sensor network data using computationally efficient multi-output gaussian processes
Osborne, M., Roberts, S., Rogers, A., Ramchurn, S., and Jennings, N. (2008) · 2008
Later among the works it cites.
Modeling natural sounds with modulation cascade processes
Turner, R. and Sahani, M. (2008) · 2008
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Systematic determination of patterns of gene expression during drosophila embryogenesis
Tomancak, P., Beaton, A., Weiszmann, R., Kwan, E., Shu, S., Lewis, S., Richards, S., Ashburner, M., Hartenstein, V., Celniker, S., et al. (2002) · 2002
Cited alongside, same era.
Bayesian inference for non-stationary spatial covariance structure via spatial deformations
Schmidt, A. and O’Hagan, A. (2003) · 2003
Cited alongside, same era.
Fast forward selection to speed up sparse gaussian process regression
Seeger, M., Williams, C., and Lawrence, N. (2003) · 2003
Cited alongside, same era.
Multivariate geostatistics: an introduction with applications
Wackernagel, H. (2003) · 2003
Cited alongside, same era.
Dependent Gaussian processes
Boyle, P. and Frean, M. (2004) · 2004
Cited alongside, same era.
A forecast comparison of volatility models: Does anything beat a GARCH(1,1)
Hansen, P. R. and Lunde, A. (2005) · 2005
Cited alongside, same era.
Later among the works it cites.
A practical guide to volatility forecasting through calm and storm
Brownlees, C. T., Engle, R. F., and Kelly, B. T. (2009) · 2009
Later among the works it cites.
The Wishart autoregressive process of multivariate stochastic volatility
Gouriéroux, C., Jasiak, J., and Sufana, R. (2009) · 2009
Later among the works it cites.
Gaussian process regression with Student-t likelihood
Vanhatalo, J., Jylanki, P., and Vehtari, A. (2009) · 2009
Later among the works it cites.
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
Yu, B., Cunningham, J., Santhanam, G., Ryu, S., Shenoy, K., and Sahani, M. (2009) · 2009
Later among the works it cites.
Combinatorial binding predicts spatio-temporal cis-regulatory activity
Zinzen, R., Girardot, C., Gagneur, J., Braun, M., and Furlong, E. (2009) · 2009
Later among the works it cites.
Incorporating side information into probabilistic matrix factorization using Gaussian processes
Adams, R. P., Dahl, G. E., and Murray, I. (2010) · 2010
Later among the works it cites.
Infer.NET 2.4
Minka, T. P., Winn, J. M., Guiver, J. P., and Knowles, D. A. (2010) · 2010
Later among the works it cites.
Elliptical Slice Sampling
Murray, I., Adams, R. P., and MacKay, D. J. (2010) · 2010
Later among the works it cites.
Statistical Models for Natural Sounds
Turner, R. E. (2010) · 2010
Later among the works it cites.
Computationally efficient convolved multiple output gaussian processes
Alvarez, M. and Lawrence, N. (2011) · 2011
Closest in time.
Variational heteroscedastic gaussian process regression
Lázaro-Gredilla, M. and Titsias, M. (2011) · 2011
Closest in time.
Generalised Wishart Processes
Wilson, A. G. and Ghahramani, Z. (2011) · 2011
Closest in time.
Bayesian nonparametric covariance regression
Fox, E. and Dunson, D. (2011) · 2017
Closest in time.