activity
20172024
most citedSelective prediction-set models with coverage guarantees

12 citations · 32 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2024

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates

Arjun Sondhi, Si Cheng, Ali Shojaie

A discrete spatial lattice can be cast as a network structure over which spatially-correlated outcomes are observed. A second network structure may also capture similarities among…

stat.ME2021

Estimating survival parameters under conditionally independent left truncation

Arjun Sondhi

Databases derived from electronic health records (EHRs) are commonly subject to left truncation, a type of selection bias induced due to patients needing to survive long enough to…

stat.ML2019★ 12 cited

Selective prediction-set models with coverage guarantees

Jean Feng, Arjun Sondhi, Jessica Perry +1

Though black-box predictors are state-of-the-art for many complex tasks, they often fail to properly quantify predictive uncertainty and may provide inappropriate predictions for u…

cs.LG2019★ 3 cited

Balanced off-policy evaluation in general action spaces

Arjun Sondhi, David Arbour, Drew Dimmery

Estimation of importance sampling weights for off-policy evaluation of contextual bandits often results in imbalance - a mismatch between the desired and the actual distribution of…

stat.ML2018★ 11 cited

The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks

Arjun Sondhi, Ali Shojaie

We consider the task of estimating a high-dimensional directed acyclic graph, given observations from a linear structural equation model with arbitrary noise distribution. By explo…

stat.ME2017★ 6 cited

Fast permutation tests and related methods, for association between rare variants and binary outcomes

Arjun Sondhi, Kenneth Martin Rice

In large scale genetic association studies, a primary aim is to test for association between genetic variants and a disease outcome. The variants of interest are often rare, and ap…