Victor Veitch
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
6
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | The Geometry of Categorical and Hierarchical Concepts in Large Language Models. | Kiho Park, Yo Joong Choe, Yibo Jiang, Victor Veitch |
| 2025 | ICML | RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals. | David Reber, Sean M. Richardson, Todd Nief, Cristina Garbacea, Victor Veitch |
| 2024 | ICML | On the Origins of Linear Representations in Large Language Models. | Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam, Victor Veitch |
| 2024 | ICML | The Linear Representation Hypothesis and the Geometry of Large Language Models. | Kiho Park, Yo Joong Choe, Victor Veitch |
| 2024 | ICML | Transforming and Combining Rewards for Aligning Large Language Models. | Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch |
| 2023 | ICLR | Causal Estimation for Text Data with (Apparent) Overlap Violations. | Lin Gui, Victor Veitch |
| 2023 | ICLR | Efficient Conditionally Invariant Representation Learning. | Roman Pogodin, Namrata Deka, Yazhe Li, Danica J. Sutherland, Victor Veitch, Arthur Gretton |
| 2021 | ICML | Valid Causal Inference with (Some) Invalid Instruments. | Jason S. Hartford, Victor Veitch, Dhanya Sridhar, Kevin Leyton-Brown |
| 2021 | NAACL | Causal Effects of Linguistic Properties. | Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch, Dhanya Sridhar |
| 2021 | WWW | Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections. | Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei, Donald P. Green |
| 2021 | UAI | Invariant representation learning for treatment effect estimation. | Claudia Shi, Victor Veitch, David M. Blei |
| 2020 | UAI | Adapting Text Embeddings for Causal Inference. | Victor Veitch, Dhanya Sridhar, David M. Blei |
| 2019 | AISTATS | Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data. | Victor Veitch, Morgane Austern, Wenda Zhou, David M. Blei, Peter Orbanz |
| 2019 | ICLR | Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach. | Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, Peter Orbanz |