activity
20172022
most citedUsing Embeddings for Causal Estimation of Peer Influence in Social Networks

9 citations · 12 across the 3 of their papers we have counts for

collaborators

6 papers

cs.SI2022★ 9 cited

Using Embeddings for Causal Estimation of Peer Influence in Social Networks

Irina Cristali, Victor Veitch

We address the problem of using observational data to estimate peer contagion effects, the influence of treatments applied to individuals in a network on the outcomes of their neig…

cs.LG2021★ 2 cited

Adaptive Differentially Private Empirical Risk Minimization

Xiaoxia Wu, Lingxiao Wang, Irina Cristali +2

We propose an adaptive (stochastic) gradient perturbation method for differentially private empirical risk minimization. At each iteration, the random noise added to the gradient i…

math.PR2019

Two-type annihilating systems on the complete and star graph

Irina Cristali, Yufeng Jiang, Matthew Junge +3

Red and blue particles are placed in equal proportion through-out either the complete or star graph and iteratively sampled to take simple random walk steps. Mutual annihilation oc…

math.PR2018

Poisson percolation on the oriented square lattice

Irina Cristali, Matthew Junge, Rick Durrett

In Poisson percolation each edge becomes open after an independent exponentially distributed time with rate that decreases in the distance from the origin. As a sequel to our work…

math.PR2017

Poisson percolation on the square lattice

Irina Cristali, Matthew Junge, Rick Durrett

On the square lattice raindrops fall on an edge with midpoint at rate . The edge becomes open when the first drop falls on it. Let be the probabilit…

math.PR2017★ 1 cited

Block size in Geometric(p)-biased permutations

Irina Cristali, Vinit Ranjan, Jake Steinberg +4

Fix a probability distribution on the positive integers. The first block in a -biased permutation can be visualized in terms of raindrop…