15 papers:
KDD-2015-ZhengYX #composition #linear #modelling #topic #using- Linear Time Samplers for Supervised Topic Models using Compositional Proposals (XZ, YY, EPX), pp. 1523–1532.
ECIR-2014-HoulsbyC #probability #scalability- A Scalable Gibbs Sampler for Probabilistic Entity Linking (NH, MC), pp. 335–346.
ICML-c2-2014-ToshD #bound- Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians (CT, SD), pp. 1467–1475.
PODS-2011-JowhariST #bound #problem- Tight bounds for Lp samplers, finding duplicates in streams, and related problems (HJ, MS, GT), pp. 49–58.
HCI-DDA-2011-ShiraiT #composition #interactive #music #using- A Proposal of an Interactive Music Composition System Using Gibbs Sampler (AS, TT), pp. 490–497.
ICPR-2010-UlkerGC #modelling #process- Annealed SMC Samplers for Dirichlet Process Mixture Models (YÜ, BG, ATC), pp. 2808–2811.
ICLP-2010-Janhunen10 #constraints #revisited #semantics #source code- Sampler Programs: The Stable Model Semantics of Abstract Constraint Programs Revisited (TJ), pp. 94–103.
SIGMOD-2009-MaitiDZD #interface #named #web- HDSampler: revealing data behind web form interfaces (AM, AD, NZ, GD), pp. 1131–1134.
CAV-2009-KitchenK #constraints #integer #markov #monte carlo- A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints (NK, AK), pp. 446–461.
- ICPR-2008-Brandt #consistency #geometry #performance
- Consistent and efficient sampler for geometric computation (SSB), pp. 1–4.
- KDD-2008-WalkerR #clustering #documentation #modelling
- Model-based document clustering with a collapsed gibbs sampler (DDW, EKR), pp. 704–712.
- ICML-2007-LiangJT #modelling
- A permutation-augmented sampler for DP mixture models (PL, MIJ, BT), pp. 545–552.
SAC-2007-SchusterS #documentation #estimation #natural language #query #random #web- NL sampler: random sampling of web documents based on natural language with query hit estimation (DS, AS), pp. 812–818.
HT-ECHT-1992-Mitsunaga #documentation- The Document Sampler (Demonstration) (PM), p. 295.
RTA-1989-McNulty #equation #logic- An Equational Logic Sampler (GFM), pp. 234–262.
