2 citations · 4 across the 8 of their papers we have counts for
8 papers
Classification Imbalance as Transfer Learning
Eric Xia, Jason M. Klusowski
Classification imbalance arises when one class is much rarer than the other. We frame this setting as transfer learning under label (prior) shift between an imbalanced source distr…
Task Matrices: Linear Maps for Cross-Model Finetuning Transfer
Darrin O' Brien, Dhikshith Gajulapalli, Eric Xia
Results in interpretability suggest that large vision and language models learn implicit linear encodings when models are biased by in-context prompting. However, the existence of…
Prediction Aided by Surrogate Training
Eric Xia, Martin J. Wainwright
We study a class of prediction problems in which relatively few observations have associated responses, but all observations include both standard covariates as well as additional…
Inference under Staggered Adoption: Case Study of the Affordable Care Act
Eric Xia, Yuling Yan, Martin J. Wainwright
Panel data consists of a collection of units that are observed over units of time. A policy or treatment is subject to staggered adoption if different units take on treatme…
Instrumental variables: A non-asymptotic viewpoint
Eric Xia, Martin J. Wainwright, Whitney Newey
We provide a non-asymptotic analysis of the linear instrumental variable estimator allowing for the presence of exogeneous covariates. In addition, we introduce a novel measure of…
Krylov-Bellman boosting: Super-linear policy evaluation in general state spaces
Eric Xia, Martin J. Wainwright
We present and analyze the Krylov-Bellman Boosting (KBB) algorithm for policy evaluation in general state spaces. It alternates between fitting the Bellman residual using non-param…
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning
Koulik Khamaru, Eric Xia, Martin J. Wainwright +1
Various algorithms for reinforcement learning (RL) exhibit dramatic variation in their convergence rates as a function of problem structure. Such problem-dependent behavior is not…
Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning
Koulik Khamaru, Eric Xia, Martin J. Wainwright +1
Various algorithms in reinforcement learning exhibit dramatic variability in their convergence rates and ultimate accuracy as a function of the problem structure. Such instance-spe…