… Sequential Monte Carlo (SMC) is a generalpurpose … mates by interleaving Markov chain
Monte Carlo (MCMC) steps for … , we introduce sequential core-set Monte Carlo (SCMC), which …

… necessarily strictly) monotone decreasing sequence, W is closed … Compared with other
coreset methods, we found … is still less stable than other coreset methods, and as such required …

… Such a compressed data set is sometimes called a core-set (or, coreset); see Fig. 2.1(left). …
We then partition the (possibly infinite) input stream into consecutive subsets of size m. Each …

… Such a compressed data set is sometimes called a core-set (or, coreset); see Fig. 1(left). …
The running time is only linear in the number of input points due to the geometric sequence of …

… While the core-set models based on the CNN and DBSCAN … core-set method to systems
which are not strongly metastable. This is important for the practical application of the core-set …

… a Monte Carlo method to generate millions of hedonic games and find their core partition sets,
which we simply call the core (or core set… can be logically and sequentially checked. Since …

… Chain Monte Carlo (MCMC) and Hamiltonian Monte Carlo (HMC) … and identically distributed
sequence having mean zero and … Taylor and coreset are the Subsampling MCMC methods …

… then try to create a good core set of the desired size according … technique, Replica Exchange
Monte Carlo (REMC) search, … performed their steps sequentially without taking advantage …

… of all the interactions outside the core set, usually obtained in some … A simple solution to ths
problem is to make a sequential … then be moved in every cycle, but not in any fixed sequence. …

… Q-value-rank We consider each pass sequence in the coreset as a generalized action and …
Due to the stochastic nature of the value estimation that stems from the Monte Carlo sampling …