Generic reed-solomon codes achieve list-decoding capacity
In a recent paper, Brakensiek, Gopi and Makam introduced higher order MDS codes as a
generalization of MDS codes. An order-ℓ MDS code, denoted by MDS (ℓ), has the property …
generalization of MDS codes. An order-ℓ MDS code, denoted by MDS (ℓ), has the property …
Towards a theory of non-commutative optimization: Geodesic 1st and 2nd order methods for moment maps and polytopes
This paper initiates a systematic development of a theory of non-commutative optimization, a
setting which greatly extends ordinary (Euclidean) convex optimization. It aims to unify and …
setting which greatly extends ordinary (Euclidean) convex optimization. It aims to unify and …
Operator scaling via geodesically convex optimization, invariant theory and polynomial identity testing
We propose a new second-order method for geodesically convex optimization on the natural
hyperbolic metric over positive definite matrices. We apply it to solve the operator scaling …
hyperbolic metric over positive definite matrices. We apply it to solve the operator scaling …
A deterministic polynomial time algorithm for non-commutative rational identity testing
Symbolic matrices in non-commuting variables, andthe related structural and algorithmic
questions, have a remarkablenumber of diverse origins and motivations. They …
questions, have a remarkablenumber of diverse origins and motivations. They …
Operator scaling: theory and applications
In this paper, we present a deterministic polynomial time algorithm for testing whether a
symbolic matrix in non-commuting variables over QQ is invertible or not. The analogous …
symbolic matrix in non-commuting variables over QQ is invertible or not. The analogous …
Algorithmic and optimization aspects of Brascamp-Lieb inequalities, via operator scaling
The celebrated Brascamp-Lieb (BL) inequalities [BL76, Lie90], and their reverse form of
Barthe [Bar98], are an important mathematical tool, unifying and generalizing numerous in …
Barthe [Bar98], are an important mathematical tool, unifying and generalizing numerous in …
Invariant theory and scaling algorithms for maximum likelihood estimation
We uncover connections between maximum likelihood estimation in statistics and norm
minimization over a group orbit in invariant theory. We focus on Gaussian transformation …
minimization over a group orbit in invariant theory. We focus on Gaussian transformation …
Maximum likelihood estimation for matrix normal models via quiver representations
We study the log-likelihood function and maximum likelihood estimate (MLE) for the matrix
normal model for both real and complex models. We describe the exact number of samples …
normal model for both real and complex models. We describe the exact number of samples …
General linear group action on tensors: A candidate for post-quantum cryptography
Starting from the one-way group action framework of Brassard and Yung (Crypto'90), we
revisit building cryptography based on group actions. Several previous candidates for one …
revisit building cryptography based on group actions. Several previous candidates for one …
Alternating minimization, scaling algorithms, and the null-cone problem from invariant theory
Alternating minimization heuristics seek to solve a (difficult) global optimization task through
iteratively solving a sequence of (much easier) local optimization tasks on different parts (or …
iteratively solving a sequence of (much easier) local optimization tasks on different parts (or …