Researchers and industry analysts are increasingly interested in computing aggregation queries over large, unstructured datasets with selective predicates that computed using expensive deep neural networks (DNNs). As these DNNs because many applications can tolerate approximate answers, accelerating via approximations. Unfortunately, standard query processing techniques to accelerate such not a...

Almost all fields of science rely upon statistical inference to estimate unknown parameters in theoretical and computational models. While the performance modern computer hardware continues grow, requirements for simulation models are growing even faster. This is largely due increase model complexity, often including stochastic dynamics, that necessary describe characterize phenomena observed u...