Summary of Omnipredictors For Regression and the Approximate Rank Of Convex Functions, by Parikshit Gopalan et al.
Omnipredictors for Regression and the Approximate Rank of Convex Functionsby Parikshit Gopalan, Princewill Okoroafor, Prasad…
Omnipredictors for Regression and the Approximate Rank of Convex Functionsby Parikshit Gopalan, Princewill Okoroafor, Prasad…
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Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regressionby Ismail Nejjar, Gaetan Frusque, Florent Forest, Olga…
Bayesian Semi-structured Subspace Inferenceby Daniel Dold, David Rügamer, Beate Sick, Oliver DürrFirst submitted to arxiv…
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedureby T. Tony Cai, Hongming…
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learningby Philip Amortila, Tongyi Cao,…
The Surprising Harmfulness of Benign Overfitting for Adversarial Robustnessby Yifan Hao, Tong ZhangFirst submitted to…
Solving Offline Reinforcement Learning with Decision Tree Regressionby Prajwal Koirala, Cody FlemingFirst submitted to arxiv…
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Banditsby Yihong Guo, Hao Liu,…