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.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
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 David Blei, Dhanya Sridhar, Claudia Shi
8 papers
· 2019–2021
· UAI, NeurIPS, NAACL
Hide ▲
Causal Effects of Linguistic Properties
NAACL 2021
Invariant representation learning for treatment effect estimation
UAI 2021
Valid Causal Inference with (Some) Invalid Instruments
ICML 2021
Adapting Text Embeddings for Causal Inference
UAI 2020
Adapting Neural Networks for the Estimation of Treatment Effects
NeurIPS 2019
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
AISTATS 2019
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
ICLR 2019
Using Embeddings to Correct for Unobserved Confounding in Networks
NeurIPS 2019
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