Freuder in (1991) defined interchangeability for classical Constraint Satisfaction Problems (CSPs). Recently (2002), we extended the definition of interchangeability to Soft CSP...
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
We address the task of problem determination in a distributed system using probes, or test transactions, which gather information about system components. Effective probing requir...
Mark Brodie, Irina Rish, Sheng Ma, Natalia Odintso...
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...