activity
20072025
most citedThe Approximate Capacity of the Many-to-One and One-to-Many Gaussian Interference Channels

354 citations · 806 across the 36 of their papers we have counts for

collaborators

45 papers

stat.ML2025

Optimal Sequential Recommendations: Exploiting User and Item Structure

Mina Karzand, Guy Bresler

We consider an online model for recommendation systems, with each user being recommended an item at each time-step and providing 'like' or 'dislike' feedback. A latent variable mod…

math.ST2023

Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique

Guy Bresler, Tianze Jiang

Planted Dense Subgraph (PDS) problem is a prototypical problem with a computational-statistical gap. It also exhibits an intriguing additional phenomenon: different tasks, such as…

math.PR2023

Algorithmic Decorrelation and Planted Clique in Dependent Random Graphs: The Case of Extra Triangles

Guy Bresler, Chenghao Guo, Yury Polyanskiy

We aim to understand the extent to which the noise distribution in a planted signal-plus-noise problem impacts its computational complexity. To that end, we consider the planted cl…

math.PR2023★ 2 cited

Random Algebraic Graphs and Their Convergence to Erdos-Renyi

Kiril Bangachev, Guy Bresler

A random algebraic graph is defined by a group with a uniform distribution over it and a connection with expectation satisfying …

math.PR2022

Metastable Mixing of Markov Chains: Efficiently Sampling Low Temperature Exponential Random Graphs

Guy Bresler, Dheeraj Nagaraj, Eshaan Nichani

In this paper we consider the problem of sampling from the low-temperature exponential random graph model (ERGM). The usual approach is via Markov chain Monte Carlo, but Bhamidi et…

math.ST2022★ 1 cited

Threshold for Detecting High Dimensional Geometry in Anisotropic Random Geometric Graphs

Matthew Brennan, Guy Bresler, Brice Huang

In the anisotropic random geometric graph model, vertices correspond to points drawn from a high-dimensional Gaussian distribution and two vertices are connected if their distance…