13 papers:
ICML-2015-DasBB #modelling #order #parametricity- Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models (MKD, TB, CB), pp. 550–559.
KDD-2015-AhnKLRW #distributed #matrix #probability #scalability #using- Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC (SA, AK, NL, SR, MW), pp. 9–18.
CIKM-2014-RahmanH #network #strict #using- Sampling Triples from Restricted Networks using MCMC Strategy (MR, MAH), pp. 1519–1528.
- ICML-c1-2014-BalanCW
- Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget (AKB, YC, MW), pp. 181–189.
- ICML-c2-2014-AhnSW #distributed #probability
- Distributed Stochastic Gradient MCMC (SA, BS, MW), pp. 1044–1052.
ICPR-2014-Filippone #classification #process #pseudo- Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC (MF), pp. 614–619.
RecSys-2013-SilbermannBR #recommendation- Sample selection for MCMC-based recommender systems (TS, IB, SR), pp. 403–406.
VLDB-2010-WickMM #database #graph #probability #scalability- Scalable Probabilistic Databases with Factor Graphs and MCMC (MLW, AM, GM), pp. 794–804.
- ICML-2010-AsuncionLIS
- Particle Filtered MCMC-MLE with Connections to Contrastive Divergence (AUA, QL, ATI, PS), pp. 47–54.
- ICML-2010-Salakhutdinov #adaptation #learning #using
- Learning Deep Boltzmann Machines using Adaptive MCMC (RS), pp. 943–950.
- ICPR-2008-ZuriarrainLAD #multi
- An MCMC-based particle filter for multiple person tracking (IZ, FL, NAA, MD), pp. 1–4.
- ICML-2004-Strens #performance #policy
- Efficient hierarchical MCMC for policy search (MJAS).
- ICML-2003-Strens #optimisation
- Evolutionary MCMC Sampling and Optimization in Discrete Spaces (MJAS), pp. 736–743.
