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Poster
Wed 9:00 Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui · Yogesh Kumar · Pekka Marttinen · Samuel Kaski
Affinity Workshop
Gaussian Process parameterized Covariance Kernels for Non-stationary Regression
Vidhi Lalchand · Talay Cheema · Laurence Aitchison · Carl Edward Rasmussen
Workshop
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski
Poster
Tue 14:00 Conformal Prediction with Temporal Quantile Adjustments
Zhen Lin · Shubhendu Trivedi · Jimeng Sun
Poster
Wed 9:00 The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
Jingfeng Wu · Difan Zou · Vladimir Braverman · Quanquan Gu · Sham Kakade
Workshop
Sat 13:10 Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski