Veitch, Victor

Underspecification Presents Challenges for Credibility in Modern Machine Learning

D'Amour, A., Heller, K., Moldovan, D., Adlam, B., Alipanahi, B., Beutel, A., Chen, C., Deaton, J., Eisenstein, J., Hoffman, M. D., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning

Cited by 398

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

Feder, A., Keith, K. A., Manzoor, E., Pryzant, R., Sridhar, D., Wood-Doughty, Z., Eisenstein, J., Grimmer, J., Reichart, R., Roberts, M. E., et al. (2022) · Transactions of the Association for Computational Linguistics

Advanced Causal Inference TechniquesComputational and Text Analysis Methods

Cited by 220

The Linear Representation Hypothesis and the Geometry of Large Language Models

Park, K., Choe, Y. J., & Veitch, V. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 11