Novel Node Category Detection Under Subpopulation Shift
Hsing-Huan Chung, Shravan Chaudhari, Yoav Wald, Xing Han, Joydeep Ghosh
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) , 2024
Nuisances via negativa: Adjusting for spurious correlations via data augmentation
Aahlad Manas Puli, Nitish Joshi, Yoav Wald, He He, Rajesh Ranganath
Transactions on Machine Learning Research (TMLR), 2024
Causal-structure Driven Augmentations for Text OOD Generalization
Amir Feder*, Yoav Wald*, Claudia Shi, Suchi Saria, David Blei
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
Aahlad Manas Puli, Lily H Zhang, Yoav Wald, Rajesh Ranganath
Thirty-seventh Conference on Neural Information Processing Systems, 2023
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection
Yoav Wald, Suchi Saria
Uncertainty in Artificial Intelligence, PMLR, 2023, pp. 2179--2191
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon
The Eleventh International Conference on Learning Representations , 2023
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
Advances in Neural Information Processing Systems, vol. 35, 2022, pp. 14419--14433
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, others
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021, pp. 693--702
On calibration and out-of-domain generalization
Yoav Wald*, Amir Feder*, Daniel Greenfeld, Uri Shalit
Advances in neural information processing systems, vol. 34, 2021, pp. 2215--2227
Robust multitask elliptical regression (romer)
Nofar Noy, Yaav Wald, Gal Elidan, Ami Wiesel
2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), IEEE, 2019, pp. 261--265
Globally optimal learning for structured elliptical losses
Yoav Wald, Nofar Noy, Gal Elidan, Ami Wiesel
Advances in Neural Information Processing Systems, vol. 32, 2019
Robust conditional probabilities
Yoav Wald, Amir Globerson
Advances in Neural Information Processing Systems, vol. 30, 2017
Tightness Results for Local Consistency Relaxations in Continuous MRFs.
Yoav Wald, Amir Globerson
UAI, 2014, pp. 839--848