Wald, Yoav

17 publications

TMLR 2025 Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning Hsing-Huan Chung, Shravan S Chaudhari, Xing Han, Yoav Wald, Suchi Saria, Joydeep Ghosh

ICLR 2025 Time After Time: Deep-Q Effect Estimation for Interventions on When and What to Do Yoav Wald, Mark Goldstein, Yonathan Efroni, Wouter A.C. van Amsterdam, Rajesh Ranganath

ECML-PKDD 2024 Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung, Shravan Chaudhari, Yoav Wald, Xing Han, Joydeep Ghosh

TMLR 2024 Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation Aahlad Manas Puli, Nitish Joshi, Yoav Wald, He He, Rajesh Ranganath

TMLR 2024 Weighted Risk Invariance: Domain Generalization Under Invariant Feature Shift Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu

UAI 2023 Birds of an Odd Feather: Guaranteed Out-of-Distribution (OOD) Novel Category Detection Yoav Wald, Suchi Saria

NeurIPS 2023 Data Augmentations for Improved (Large) Language Model Generalization Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei

NeurIPS 2023 Don’t Blame Dataset Shift! Shortcut Learning Due to Gradients and Cross Entropy Aahlad Manas Puli, Lily Zhang, Yoav Wald, Rajesh Ranganath

ICLR 2023 Malign Overfitting: Interpolation and Invariance Are Fundamentally at Odds Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon

NeurIPS 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld

ICMLW 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld

NeurIPSW 2022 Malign Overfitting: Interpolation and Invariance Are Fundamentally at Odds Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon

ICCV 2021 Explaining in Style: Training a GAN to Explain a Classifier in StyleSpace Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri

NeurIPS 2021 On Calibration and Out-of-Domain Generalization Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit

NeurIPS 2019 Globally Optimal Learning for Structured Elliptical Losses Yoav Wald, Nofar Noy, Gal Elidan, Ami Wiesel

NeurIPS 2017 Robust Conditional Probabilities Yoav Wald, Amir Globerson

UAI 2014 Tightness Results for Local Consistency Relaxations in Continuous MRFs Yoav Wald, Amir Globerson