1 citations · 5 across the 15 of their papers we have counts for
Showing 2026 · stat.MLShow all
3 papers · 2 filters
stat.ML2026
Internal Guidance as a Sampling Method for Tilted Diffusion Models
Curtis McDonald, Peter Bartlett
Reward guidance methods sample an exponential tilt of a base density using a diffusion model trained with only samples from the base distribution. Existing methods use what we call…
stat.ML2026
Principal Component Regression Dominates all Monotone Spectral Filters for Linear Regression
Juno Kim, Hengyu Fu, Peter Bartlett +2
We compare the instance-wise, finite-sample risks of monotone spectral filters for linear regression, a broad class of estimators including principal component regression (PCR), gr…
stat.ML2026
Hard labels sampled from sparse targets mislead rotation invariant algorithms
Avrajit Ghosh, Bin Yu, Manfred Warmuth +1
One of the most common machine learning setups is logistic regression. In many classification models, including neural networks, the final prediction is obtained by applying a logi…