Yoav Wald

According to our database, Yoav Wald authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift.

Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu

Trans. Mach. Learn. Res., 2024

Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation.

Aahlad Manas Puli, Nitish Joshi, Yoav Wald, He He, Rajesh Ranganath

Trans. Mach. Learn. Res., 2024

Novel Node Category Detection Under Subpopulation Shift.

Hsing-Huan Chung, Shravan Chaudhari, Yoav Wald, Xing Han, Joydeep Ghosh

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection.

Yoav Wald, Suchi Saria

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy.

Aahlad Manas Puli, Lily H. Zhang, Yoav Wald, Rajesh Ranganath

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal-structure Driven Augmentations for Text OOD Generalization.

Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds.

Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Malign Overfitting: Interpolation Can Provably Preclude Invariance.

Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon

CoRR, 2022

In the Eye of the Beholder: Robust Prediction with Causal User Modeling.

Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Optimizations Towards Robustness in Machine Learning. (כותר נוסף בעברית: אופטימיזציות לאמינות של מערכות לומדות).

Yoav Wald

PhD thesis, 2021

On Calibration and Out-of-Domain Generalization.

Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Globally Optimal Learning for Structured Elliptical Losses.

Yoav Wald, Nofar Noy, Gal Elidan, Ami Wiesel

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robust multitask Elliptical Regression (ROMER).

Nofar Noy, Yoav Wald, Gal Elidan, Ami Wiesel

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2017

Robust Conditional Probabilities.

Yoav Wald, Amir Globerson

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2014

Tightness Results for Local Consistency Relaxations in Continuous MRFs.

Yoav Wald, Amir Globerson

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014