1 citations · 2 across the 10 of their papers we have counts for
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Is Your Conditional Diffusion Model Actually Denoising?
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis +2
We study the inductive biases of diffusion models with a conditioning-variable, which have seen widespread application as both text-conditioned generative image models and observat…
Unbiased Regression-Adjusted Estimation of Average Treatment Effects in Randomized Controlled Trials
Alberto Abadie, Mehrdad Ghadiri, Ali Jadbabaie +1
This article introduces a leave-one-out regression adjustment (LOORA) for estimating average treatment effects in randomized controlled trials. In finite samples, LOORA removes the…
A Test-Function Approach to Incremental Stability
Daniel Pfrommer, Max Simchowitz, Ali Jadbabaie
This paper presents a novel framework for analyzing Incremental-Input-to-State Stability (ISS) based on the idea of using rewards as "test functions." Whereas control theory tra…
The Pitfalls of Imitation Learning when Actions are Continuous
Max Simchowitz, Daniel Pfrommer, Ali Jadbabaie
We study the problem of imitating an expert demonstrator in a discrete-time, continuous state-and-action control system. We show that, even if the dynamics satisfy a control-theore…
Fast Tensor Completion via Approximate Richardson Iteration
Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook +1
We study tensor completion (TC) through the lens of low-rank tensor decomposition (TD). Many TD algorithms use fast alternating minimization methods to solve highly structured line…
On the Emergence of Position Bias in Transformers
Xinyi Wu, Yifei Wang, Stefanie Jegelka +1
Recent studies have revealed various manifestations of position bias in transformer architectures, from the "lost-in-the-middle" phenomenon to attention sinks, yet a comprehensive…