Victor Veitch
Victor Veitch
Verified email at uchicago.edu - Homepage
Title
Cited by
Cited by
Year
Contextuality supplies the ‘magic’for quantum computation
M Howard, J Wallman, V Veitch, J Emerson
Nature 510 (7505), 351-355, 2014
4572014
Negative quasi-probability as a resource for quantum computation
V Veitch, C Ferrie, D Gross, J Emerson
New Journal of Physics 14 (11), 113011, 2012
2552012
The resource theory of stabilizer quantum computation
V Veitch, SAH Mousavian, D Gottesman, J Emerson
New Journal of Physics 16 (1), 013009, 2014
2392014
Underspecification presents challenges for credibility in modern machine learning
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
arXiv preprint arXiv:2011.03395, 2020
1212020
Efficient simulation scheme for a class of quantum optics experiments with non-negative Wigner representation
V Veitch, N Wiebe, C Ferrie, J Emerson
New Journal of Physics 15 (1), 013037, 2013
972013
Non-vacuous generalization bounds at the imagenet scale: a PAC-bayesian compression approach
W Zhou, V Veitch, M Austern, RP Adams, P Orbanz
arXiv preprint arXiv:1804.05862, 2018
90*2018
The class of random graphs arising from exchangeable random measures
V Veitch, DM Roy
arXiv preprint arXiv:1512.03099, 2015
872015
Adapting neural networks for the estimation of treatment effects
C Shi, DM Blei, V Veitch
arXiv preprint arXiv:1906.02120, 2019
702019
Adapting text embeddings for causal inference
V Veitch, D Sridhar, D Blei
Conference on Uncertainty in Artificial Intelligence, 919-928, 2020
37*2020
The holdout randomization test: Principled and easy black box feature selection
W Tansey, V Veitch, H Zhang, R Rabadan, DM Blei
arXiv e-prints, arXiv: 1811.00645, 2018
312018
Sampling and estimation for (sparse) exchangeable graphs
V Veitch, DM Roy
The Annals of Statistics 47 (6), 3274-3299, 2019
282019
Using embeddings to correct for unobserved confounding in networks
V Veitch, Y Wang, DM Blei
arXiv preprint arXiv:1902.04114, 2019
27*2019
Sampling perspectives on sparse exchangeable graphs
C Borgs, JT Chayes, H Cohn, V Veitch
The Annals of Probability 47 (5), 2754-2800, 2019
252019
The whole is greater than the sum of the parts: on the possibility of purely statistical interpretations of quantum theory
J Emerson, D Serbin, C Sutherland, V Veitch
arXiv preprint arXiv:1312.1345, 2013
182013
Empirical risk minimization and stochastic gradient descent for relational data
V Veitch, M Austern, W Zhou, DM Blei, P Orbanz
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
72019
Causal effects of linguistic properties
R Pryzant, D Card, D Jurafsky, V Veitch, D Sridhar
arXiv preprint arXiv:2010.12919, 2020
62020
Sense and sensitivity analysis: Simple post-hoc analysis of bias due to unobserved confounding
V Veitch, A Zaveri
arXiv preprint arXiv:2003.01747, 2020
52020
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests
V Veitch, A D'Amour, S Yadlowsky, J Eisenstein
arXiv preprint arXiv:2106.00545, 2021
42021
Bootstrap estimators for the tail-index and for the count statistics of graphex processes
Z Naulet, DM Roy, E Sharma, V Veitch
Electronic Journal of Statistics 15 (1), 282-325, 2021
4*2021
Invariant representation learning for treatment effect estimation
C Shi, V Veitch, D Blei
arXiv preprint arXiv:2011.12379, 2020
42020
The system can't perform the operation now. Try again later.
Articles 1–20