Victor Veitch

Computer Science · Physical Sciences

17h-index2.3kcitations62works0.62yr avg
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Research Topics

Topic Modeling(17), Bayesian Modeling and Causal Inference(14), Advanced Causal Inference Techniques(11), Statistical Methods and Inference(8), Explainable Artificial Intelligence (XAI)(8)

Publications62 total

The Information Geometry of Softmax: Probing and Steering
arXiv (Cornell University)·2026Open Access
The Information Geometry of Softmax: Probing and Steering
arXiv (Cornell University)·2026Open Access
Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures
arXiv (Cornell University)·2025Open Access
RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals
arXiv (Cornell University)·2024Open Access
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
arXiv (Cornell University)·2024· 3 citedOpen Access
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
arXiv (Cornell University)·2024Open Access
On the Origins of Linear Representations in Large Language Models
arXiv (Cornell University)·2024· 2 citedOpen Access
Transforming and Combining Rewards for Aligning Large Language Models
arXiv (Cornell University)·2024Open Access
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
2024
The Linear Representation Hypothesis and the Geometry of Large Language Models
arXiv (Cornell University)·2023· 8 citedOpen Access
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
arXiv (Cornell University)·2023· 1 citedOpen Access
Uncovering Meanings of Embeddings via Partial Orthogonality
arXiv (Cornell University)·2023Open Access
Concept Algebra for (Score-Based) Text-Controlled Generative Models
arXiv (Cornell University)·2023· 5 citedOpen Access
Efficient Conditionally Invariant Representation Learning
arXiv (Cornell University)·2022· 2 citedOpen Access
Causal Estimation for Text Data with (Apparent) Overlap Violations
arXiv (Cornell University)·2022· 6 citedOpen Access
The Causal Structure of Domain Invariant Supervised Representation Learning
arXiv (Cornell University)·2022· 2 citedOpen Access
Invariant and Transportable Representations for Anti-Causal Domain Shifts
arXiv (Cornell University)·2022· 6 citedOpen Access
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
arXiv (Cornell University)·2022· 9 citedOpen Access
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Transactions of the Association for Computational Linguistics·2022· 182 citedOpen Access
Counterfactual Invariance to Spurious Correlations in Text Classification
Neural Information Processing Systems·2021· 21 cited
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Frequent Co-authors

David M. Blei(14), Dhanya Sridhar(9), Joseph Emerson(7), Jacob Eisenstein(6), Alexander D’Amour(4), Steve Yadlowsky(4), Wenda Zhou(4), Morgane Austern(4), Peter Orbanz(4), Daniel M. Roy(4), Reid Pryzant(3), Ryan P. Adams(3), Zhaoran Wang(3), Wesley Tansey(3), Raúl Rabadán(3), Christopher Ferrie(3), Yibo Jiang(3), Mark Howard(2), Joel J. Wallman(2), Amir Feder(2)