We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
There exist many application classes for which the users have significant flexibility in the quality of output they desire. At the same time, there are other constraints, such a...
In statistical machine translation, decoding without any reordering constraint is an NP-hard problem. Inversion Transduction Grammars (ITGs) exploit linguistic structure and can w...
A user interface, such as a dialog, assists a user in synthesising a set of values, typically parameters for a command object. Code for “command parameter synthesis” is usuall...
We present a very efficient multi-party computation protocol unconditionally secure against an active adversary. The security is maximal, i.e., active corruption of up to t < n/...