27 citations · 44 across the 6 of their papers we have counts for
7 papers
Federated Offline Policy Learning
Aldo Gael Carranza, Susan Athey
We consider the problem of learning personalized decision policies from observational bandit feedback data across multiple heterogeneous data sources. In our approach, we introduce…
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
Aldo Gael Carranza, Rezsa Farahani, Natalia Ponomareva +3
We address the challenge of ensuring differential privacy (DP) guarantees in training deep retrieval systems. Training these systems often involves the use of contrastive-style los…
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles
Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
Contextual bandit algorithms often estimate reward models to inform decision-making. However, true rewards can contain action-independent redundancies that are not relevant for dec…
The Social Divide of Social Distancing: Shelter-in-Place Behavior in Santiago during the Covid-19 Pandemic
Aldo Carranza, Marcel Goic, Eduardo Lara +6
Voluntary shelter-in-place directives and lockdowns are the main non-pharmaceutical interventions that governments around the globe have used to contain the Covid-19 pandemic. In t…
Heterogeneous Graphlets
Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza +4
In this paper, we introduce a generalization of graphlets to heterogeneous networks called typed graphlets. Informally, typed graphlets are small typed induced subgraphs. Typed gra…
Heterogeneous Network Motifs
Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza +4
Many real-world applications give rise to large heterogeneous networks where nodes and edges can be of any arbitrary type (e.g., user, web page, location). Special cases of such he…
Higher-order Spectral Clustering for Heterogeneous Graphs
Aldo G. Carranza, Ryan A. Rossi, Anup Rao +1
Higher-order connectivity patterns such as small induced sub-graphs called graphlets (network motifs) are vital to understand the important components (modules/functional units) go…