In this work, we consider the list-decodability and list-recoverability ...
We consider the problem of parameter estimation from observations given ...
The recent introduction of ChatGPT has drawn significant attention from ...
Decentralized minimax optimization has been actively studied in the past...
Federated learning has attracted increasing attention due to the promise...
In a mixed generalized linear model, the objective is to learn multiple
...
We derive lower bounds on the maximal rates for multiple packings in
hig...
We study the problem of high-dimensional multiple packing in Euclidean s...
We study the problem of high-dimensional multiple packing in Euclidean s...
In this work we consider the list-decodability and list-recoverability o...
We consider a high-dimensional mean estimation problem over a binary hid...
We characterize the capacity for the discrete-time arbitrarily varying
c...
We revisit the problem of high-dimensional multiple packing in Euclidean...
This paper is a collection of results on combinatorial properties of cod...
We consider the problem of reliable communication over a network contain...
We consider zero-error communication over a two-transmitter deterministi...
Graph convolutional networks (GCNs) have been employed as a kind of
sign...
We study list-decoding over adversarial channels governed by oblivious
a...
This paper provides upper and lower bounds on list sizes of list decodin...
We study achievable rates of reliable communication in a power-constrain...
This paper concerns itself with the question of list decoding for genera...
A covering code is a subset of vectors over a finite field with the prop...
We study the list decodability of different ensembles of codes over the ...
We study communication in the presence of a jamming adversary where quad...