Research
Many problems in real-world applications involve predicting several random variables which are statistically related. A structured model, like a Markov random field, is a great mathematical tool to encode those dependencies. Within the first part…
Reconstructing a sequence from its short substrings, called reads, is a central problem in DNA sequencing. I will introduce an adversarial error model for the reads, and show that a simple algorithm leads to approximate…
We present the first non-trivial online algorithms for the classical multi-commodity buy-at-bulk problem. The goal is to provision a low-cost network over time to support bandwidth demands that also arrive over time. Previously, online algorithms…
It is quite easy to believe that the recently proposed approach to machine translation, called neural machine translation, is simply yet another approach to statistical machine translation. This belief may drive research effort toward (incrementally)…
In the setting of cloud computing a user wishes to delegate its data, as well as computations over this data, to a cloud provider. Each computation may read and modify the data, and these modifications…
Interactive proofs have had a dramatic impact on Complexity Theory and Cryptography. In particular, the celebrated IP=PSPACE Theorem [LFKN92,Shamir92] allows an all-powerful but untrusted prover to convince a polynomial-time verifier of the validity of extremely…
