Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: 1 introduction to dual decomposition for inference .
MRF energy minimization and beyond via dual decomposition
A New Approach to Probabilistic Programming Inference
bucket elimination : a unifying framework for probabilistic inference .
Learned Primal-dual Reconstruction
maximum likelihood from incomplete data via the em - algorithm plus discussions on the paper .
a family of algorithms for approximate bayesian inference .
Rejoinder: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$
Inference for High-dimensional Exponential Family Graphical Models
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks
Bayesian inference, entropy, and the multinomial distribution
Mixture models, robustness, and sum of squares proofs
Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples
Exploiting Contextual Independence In Probabilistic Inference
Improved Bayesian inference for the stochastic block model with application to large networks
DLM: Decentralized Linearized Alternating Direction Method of Multipliers
Variational Inference: A Review for Statisticians
An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem
Approximating Bayesian inference with a sparse distributed memory system
Communication-Efficient Distributed Statistical Inference
Solving Influence Diagrams: Exact Algorithms
Survey propagation: an algorithm for satisfiability
Hash Ranking With Weighted Asymmetric Distance for Image Search
Factors influencing healthcare service quality.
Production, solubility and antioxidant activity of curcumin nanosuspension
anatomically constrained neural networks ( acnns ) : application to cardiac image enhancement and segmentation .