Victor Veitch
Publications by Year
Research Areas
Topic Modeling, Bayesian Modeling and Causal Inference, Advanced Causal Inference Techniques, Statistical Methods and Inference, Natural Language Processing Techniques
Most-Cited Works
- → Contextuality supplies the ‘magic’ for quantum computation(2014)598 cited
- → The resource theory of stabilizer quantum computation(2014)478 cited
- → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
- → Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond(2022)183 cited
- → Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach(2018)81 cited
- → The Class of Random Graphs Arising from Exchangeable Random Measures(2015)72 cited
- → Adapting Neural Networks for the Estimation of Treatment Effects(2019)53 cited
- → Adapting Text Embeddings for Causal Inference(2019)51 cited
- → Sampling perspectives on sparse exchangeable graphs(2019)25 cited