activity
20122026
most citedGenerative Models and Model Criticism via Optimized Maximum Mean Discrepancy

162 citations · 1.5k across the 218 of their papers we have counts for

collaborators

241 papers

cs.MA2026

Strategic Multi-Agent Resource Allocation via Statistical Contracts

Ben Chugg, Michael I. Jordan, Aaditya Ramdas

We study a class of strategic hypothesis testing problems in which a principal aims to allocate resources among competing agents who possess data or data-generating mechanisms that…

cs.LG2026

How to post-train on a surrogate: Envelope sampling mitigates reward hacking

Sanjit Dandapanthula, Shuvom Sadhuka, Samir Khan +3

Large language models (LLMs) are commonly post-trained against LLM judges and other cheap surrogates because the true reward, such as human preference, is too expensive to query at…

stat.ME2026

Anchored multiple testing: a transparent use of e-closure to improve FDR procedures

Aaditya Ramdas

The recent e-closure method can recover every procedure that controls FDR (and other expectation losses). But the recovered e-collection is ``self-referential'' and gives no insigh…

math.ST2026

Adaptive inference for functionals of M-estimands

James Leiner, Aurélien Bibaut, Nathan Kallus +2

Reinforcement learning and contextual bandit algorithms have become increasingly common in sequential decision-making applications. When these methods are deployed in high-stakes d…

math.ST2026

Competitive optimality in testing by betting via Bell-Cover randomization

Aaditya Ramdas

Bell and Cover showed that an investor who multiplies the initial unit of capital by an independent uniform random variable on , and then uses the log-optimal portfolio, win…

math.ST2026

Change detection with conformal martingales: new optimal constructions, and suboptimality of existing methods

Swapnaneel Bhattacharyya, Aaditya Ramdas

We study distribution-free sequential changepoint detection for independent observations with unknown and unrestricted pre- and post-change laws. We build on the conformal test mar…