We study the problem of in-context learning (ICL) with large language mo...
Generating differentially private (DP) synthetic data that closely resem...
Suppose we want to train text prediction models in email clients or word...
The development of efficient sampling algorithms catering to non-Euclide...
Maximally Recoverable Local Reconstruction Codes (LRCs) are codes design...
Higher order MDS codes are an interesting generalization of MDS codes
re...
We propose a new framework for differentially private optimization of co...
In a recent paper, Brakensiek, Gopi and Makam introduced higher order MD...
In this paper, we study private optimization problems for non-smooth con...
We give simpler, sparser, and faster algorithms for differentially priva...
We revisit the problem of n-gram extraction in the differential privacy
...
An (m,n,a,b)-tensor code consists of m× n matrices whose columns
satisfy...
Sequencing a DNA strand, as part of the read process in DNA storage, pro...
We give a fast algorithm to optimally compose privacy guarantees of
diff...
Differentially Private-SGD (DP-SGD) of Abadi et al. (2016) and its varia...
An (n,r,h,a,q)-Local Reconstruction Code is a linear code over
𝔽_q of le...
We study the basic operation of set union in the global model of differe...
We initiate the study of hypothesis selection under local differential
p...
We study the complexity of Boolean constraint satisfaction problems (CSP...
We introduce a simple logical inference structure we call a
spanoid (gen...
Motivated by two problems on arithmetic progressions (APs)---concerning ...
In recent years the explosion in the volumes of data being stored online...
Motivated by applications in recommender systems, web search, social cho...