Victor Veitch
24 papers · 2019–2025 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 33% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Victor Veitch?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jacob Eisenstein, Lin Gui, Alexander D'Amour
7 papers
· 2021–2025
· NeurIPS, ICML, ICLR
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RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals
ICML 2025
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
NeurIPS 2024
Transforming and Combining Rewards for Aligning Large Language Models
ICML 2024
Causal Estimation for Text Data with (Apparent) Overlap Violations
ICLR 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models
NeurIPS 2023
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Counterfactual Invariance to Spurious Correlations in Text Classification
NeurIPS 2021
4 papers whose co-authors appear nowhere else under this name
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
NeurIPS 2023
Efficient Conditionally Invariant Representation Learning
ICLR 2023
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
NeurIPS 2022
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
NeurIPS 2020