106 citations · 636 across the 106 of their papers we have counts for
122 papers
Inference on the Value of Policy Improvement in Adaptive Experiments
Justin Whitehouse, Emma Brunskill, Vasilis Syrgkanis
In this paper, we develop an asymptotically normal estimator for the value of policy improvement (VPI) under adaptively collected data. This value, which is defined as the gap betw…
Measuring Gift Card Program Incrementality via Causal Data Fusion
Justin Whitehouse, William Betz, Yan Zhang +3
Businesses regularly offer gift card programs to drive customer spending and increase engagement. A central question is how much incremental revenue these programs generate, and wh…
Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection
Keertana Chidambaram, Andrew Ilyas, Vasilis Syrgkanis
Chain-of-thought (CoT) monitoring is a safety strategy where the reasoning of a large language model "actor" is inspected by a "monitor" (often another language model) for signs of…
CausalSmith: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference
Jiyuan Tan, Vasilis Syrgkanis
Automating theoretical research requires generating candidate results and evaluating them reliably. Models keep getting better at the first, while the second remains hard. A common…
The Partial Testimony of Logs: Evaluation of Language Model Generation under Confounded Model Choice
Jikai Jin, Vasilis Syrgkanis
Offline evaluation of language models from usage logs is biased when model choice is confounded: the same user-side factors that influence which model is used can also influence ho…
Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport
Jiyuan Tan, Jose Blanchet, Vasilis Syrgkanis
Policy-Relevant Treatment Effects (PRTEs) are generally not point-identified under standard Instrumental Variable (IV) assumptions when the instrument generates limited support in…