Uri Shaham

Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound

Learning Shared Representations from Unpaired Data

UNICORNN: Unimodal Calibrated Ordinal Regression Neural Network

Revisiting Covariate and Hypothesis Roles in ITE Estimation: A New Approach Using Laplacian Regularization

GrEASE: Generalizable Spectral Embedding with an Application to UMAP

G-SPARC: SPectral ARchitectures tackling the Cold-start problem in Graphs

Leveraging Low Rank Structure in The Lazy Regime

SpecRaGE: Robust and Generalizable Multi-view Spectral Representation Learning