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20212026
most citedRobustly estimating heterogeneity in factorial data using Rashomon Partitions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

MS-GLA: Multi-Scale Gated Linear Attention for Addressing Representational Bottlenecks via Multi-Temporal Resolution

Prasoon Dev, Anirudh Sankar, Vasudeva Varma

Gated Linear Attention (GLA) Transformers advance linear recurrent models through data-dependent gating, but face a core limitation: the fixed-capacity memory matrices across all h…

cs.SI2026

Social Network Structure, Wealth, and Wealth Inequality Across Cultures

Eleanor A. Power, Monique Borgerhoff Mulder, Samuel Bowles +57

Despite theory tying wealth inequality to social structure, empirical evidence has been limited to a few studies based on online social media data. This study uses a very different…

econ.TH2025

The value of conceptual knowledge

Benjamin Davies, Anirudh Sankar

We study the instrumental value of conceptual knowledge when making statistical decisions. Such knowledge tells agents how unknown, payoff-relevant states relate. It is distinct fr…

stat.ME2024★ 1 cited

Robustly estimating heterogeneity in factorial data using Rashomon Partitions

Aparajithan Venkateswaran, Anirudh Sankar, Arun G. Chandrasekhar +1

In both observational data and randomized control trials, researchers select statistical models to articulate how the outcome of interest varies with combinations of observable cov…

stat.AP2021

Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization

Abhijit Banerjee, Arun G. Chandrasekhar, Suresh Dalpath +8

Policymakers often choose a policy bundle that is a combination of different interventions in different dosages. We develop a new technique -- treatment variant aggregation (TVA) -…