Fetching the paper…
Reading the bibliography…
A statistical model is said to be un-normalised when its likelihood function involves an intractable normalising constant.
Note on the consistency of the maximum likelihood estimate
Wald, A. (1949) · 1949
Earlier work this paper cites.
Concavity of certain maps on positive definite matrices and applications to hadamard products
Ando, T. (1979) · 1979
Earlier work this paper cites.
On the convergence of Monte Carlo maximum likelihood calculations
Geyer, C. J. (1994) · 1994
Earlier work this paper cites.
Maximum likelihood estimation for spatial models by Markov chain Monte Carlo stochastic approximation
Gu, M. G. and Zhu, H.-T. (2001) · 2001
Earlier work this paper cites.
Convex optimization
Boyd, S. and Vandenberghe, L. (2004) · 2004
Earlier work this paper cites.
On the Markov chain central limit theorem
Jones, G. L. (2004) · 2004
Earlier work this paper cites.
General state space Markov chains and MCMC algorithms
Roberts, G. O. and Rosenthal, J. S. (2004) · 2004
Earlier work this paper cites.
Basic properties of strong mixing conditions. a survey and some open questions
Bradley, R. C. et al. (2005) · 2005
Cited alongside, same era.
Variational analysis
Rockafellar, R. T. and Wets, R. J.-B. (2009) · 2009
Cited alongside, same era.
Deep boltzmann machines
Salakhutdinov, R. and Hinton, G. (2009) · 2009
Cited alongside, same era.
Bayesian inference for exponential random graph models
Caimo, A. and Friel, N. (2011) · 2011
Cited alongside, same era.
Posterior sampling when the normalizing constant is unknown
Walker, S. G. (2011) · 2011
Cited alongside, same era.
The Wald consistency theorem
Geyer, C. J. (2012) · 2012
Cited alongside, same era.
Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics
Gutmann, M. U. and Hyvärinen, A. (2012) · 2012
Later among the works it cites.
Markov chains and stochastic stability
Meyn, S. P. and Tweedie, R. L. (2012) · 2012
Later among the works it cites.
A fast and simple algorithm for training neural probabilistic language models
Mnih, A. and Teh, Y. W. (2012) · 2012
Later among the works it cites.
Markov random field modeling, inference & learning in computer vision & image understanding: A survey
Wang, C., Komodakis, N., and Paragios, N. (2013) · 2013
Later among the works it cites.
The Poisson transform for unnormalised statistical models
Barthelmé, S. and Chopin, N. (2015) · 2015
Later among the works it cites.
Estimation paramétrique
Delyon, B. (2018) · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Closest in time.