Large AI models (e.g., Dall-E, GPT4) have electrified the scientific,
te...
We consider the problem of continually releasing an estimate of the
popu...
Recent years have seen the emergence of decentralized wireless networks
...
We study high-dimensional sparse estimation under three natural constrai...
We consider over-the-air convex optimization on a d-dimensional space wh...
We consider density estimation for Besov spaces when each sample is quan...
In the problem of multiple support recovery, we are given access to line...
We revisit first-order optimization under local information constraints ...
We consider universal quantization with side information for Gaussian
ob...
We study the problem of recovering the common k-sized support of a set o...
We study goodness-of-fit and independence testing of discrete distributi...
Communication efficient distributed mean estimation is an important prim...
We consider the task of distributed parameter estimation using sequentia...
Recent cyber-attacks on power grids highlight the necessity to protect t...
We consider distributed inference using sequentially interactive protoco...
Two parties observe independent copies of a d-dimensional vector and a
s...
The number of confirmed cases of COVID-19 is often used as a proxy for t...
Samples from a high-dimensional AR[1] process are observed by a sender w...
We consider stochastic optimization over ℓ_p spaces using access to a
fi...
Data samples from R^d with a common support of size k are
accessed throu...
We consider first order stochastic optimization where the oracle must
qu...
We consider first order stochastic optimization where the oracle must
qu...
We study goodness-of-fit of discrete distributions in the distributed
se...
A central server needs to perform statistical inference based on samples...
The task of manipulating correlated random variables in a distributed se...
We consider the generation of a secret key (SK) by the inputs and the ou...
We present an information theoretic proof of the nonsignalling multiprov...
We consider a distributed inference problem where only limited informati...
A transmitter observing a sequence of independent and identically distri...
We study the problem of distribution testing when the samples can only b...
The strong converse for a coding theorem shows that the optimal asymptot...
Independent samples from an unknown probability distribution p on
a doma...