Gaussian mixture block models are distributions over graphs that strive ...
Consider a random geometric 2-dimensional simplicial complex X sampled a...
Many high-dimensional statistical inference problems are believed to pos...
We give a spectral algorithm for decomposing overcomplete order-4 tensor...
In the random geometric graph model 𝖦𝖾𝗈_d(n,p), we identify each
of our ...
We consider a very wide class of models for sparse random Boolean 2CSPs;...
We study fast algorithms for statistical regression problems under the s...
We study the extent to which wide neural networks may be approximated by...
We formulate a new hardness assumption, the Strongish Planted Clique
Hyp...
Researchers currently use a number of approaches to predict and substant...
One fundamental goal of high-dimensional statistics is to detect or reco...
We give an algorithm for solving unique games (UG) instances whose
const...
We show that for every ε > 0, the degree-n^ε
Sherali-Adams linear progra...
Let G be any n-vertex graph whose random walk matrix has its nontrivial
...
Many previous Sum-of-Squares (SOS) lower bounds for CSPs had two deficie...
Estimation is the computational task of recovering a hidden parameter x
...
We give a quasipolynomial time algorithm for the graph matching problem ...
Unlike its cousin 3SAT, the NAE-3SAT (not-all-equal-3SAT) problem has th...
We give query-efficient algorithms for the global min-cut and the s-t cu...
We study planted problems---finding hidden structures in random noisy
in...
We develop fast spectral algorithms for tensor decomposition that match ...
We consider two problems that arise in machine learning applications: th...
We give an algorithm for completing an order-m symmetric low-rank tensor...