53 citations · 315 across the 37 of their papers we have counts for
4 papers · 1 filter
Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift
Surbhi Goel, Jonathan Pei, James Wang
Behavior cloning provides strong imitation learning guarantees when training and test environments share the same dynamics. However, in many deployment settings the test environmen…
Weight Clipping for Robust Conformal Inference under Unbounded Covariate Shifts
James Wang, Surbhi Goel
Conformal prediction (CP) provides powerful, distribution-free prediction sets, but its guarantees rely on the exchangeability of training and test data, which is often violated in…
Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases
Jingwen Liu, Ezra Edelman, Surbhi Goel +1
This work investigates the ``small-vs-large gap'', where repeating on fewer samples can lead to compute saving during training compared to using a larger dataset. This is observed…
Reliable Abstention under Adversarial Injections: Tight Lower Bounds and New Upper Bounds
Ezra Edelman, Surbhi Goel
We study online learning in the adversarial injection model introduced by [Goel et al. 2017], where a stream of labeled examples is predominantly drawn i.i.d.\ from an unknown dist…