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Probabilistic programming refers to the idea of using standard programming constructs for specifying probabilistic models and employing generic inference algorithms for answering various queries on these models. Funny quotes about life and love Although this idea itself is not new and was, in fact, explored by several programming-language researchers in the early 2000, it is only in the last few years that probabilistic programming has gained a large amount of attention among researchers in machine learning and programming languages, and that serious probabilistic programming languages (such as Anglican, Church, Infer.net, PyMC, Stan, and Venture) started to appear and have been taken up by a nontrivial number of users.

My talk has two goals. Europe futures trading hours One is to introduce probabilistic programming to the programming-language audience. Love quotes tumblr The other is to explain a few lessons that I learnt about probabilistic programming from my machine learning colleagues in Oxford.


Butterfly quotes about life They have been developing a high-order call-by-value probabilistic programming language called Anglican, and through many discussions and close collaborations, they taught me why people in machine learning cared about probabilistic programming and pointed out new interesting research directions. Hex to binary file converter These lessons had huge influence on how I think about probabilistic programming. Dollar exchange rate to peso I will try to explain the lessons through their influence on my ongoing projects, which aim at optimising probabilistic programs using techniques from programming languages and providing denotational semantics of high-order probabilistic programs. Silver chart 1 year My talk will be based on joint work with Sam Staton, Jan-Willem van de Meent, Frank Wood (Oxford), Diane Gallois-Wong (ENS), Chris Heunen (Edinburgh), Ohad Kammar (Cambridge) and David Tolpin (Paypal).

CPU caches introduce variations into the execution time of programs that can be exploited by adversaries to recover private information about users or cryptographic keys. Futures market wiki Establishing the security of countermeasures against this threat often requires intricate reasoning about the interactions of program code, memory layout, and hardware architecture and has so far only been done for restricted cases.

In this talk, I will present novel techniques that provide support for bit-level and arithmetic reasoning about memory accesses in the presence of dynamic memory allocation. Exchange rate pound us dollar I will report on a case study which uses these techniques to perform the first rigorous analysis of widely deployed software countermeasures against cache attacks on modular exponentiation, based on executable code. Stock market futures The countermeasures are from different versions of libgcrypt and OpenSSL from the last 4 years, and our analysis measures their vulnerability to a hierarchy of attacks.


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