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Underspecification Presents Challenges for Credibility in Modern Machine Learning.

A. D'Amour, K. Heller, D. Moldovan, B. Adlam, B. Alipanahi, A. Beutel, C. Chen, J. Deaton, J. Eisenstein, M. Hoffman, F. Hormozdiari, N. Houlsby, S. Hou, G. Jerfel, A. Karthikesalingam, M. Lucic, Y. Ma, C. McLean, D. Mincu, A. Mitani, A. Montanari, Z. Nado, V. Natarajan, C. Nielson, T. Osborne, R. Raman, K. Ramasamy, R. Sayres, J. Schrouff, M. Seneviratne, S. Sequeira, H. Suresh, V. Veitch, M. Vladymyrov, X. Wang, K. Webster, S. Yadlowsky, T. Yun, X. Zhai, and D. Sculley. J. Mach. Learn. Res., (2022)

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Victor Anspach

Status quo, Perspektiven und wirtschaftliche Potenziale der Biogaserzeugung auf landwirtschaftlichen Betrieben im ökologischen LandbauV. Anspach. Uni Kassel, (2009)

Victor Grigoriev

Victor Levchenko

Victor Gerds

Victor Zebe

Other publications of authors with the same name

Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data.V. Veitch, M. Austern, W. Zhou, D. Blei, and P. Orbanz. CoRR, (2018)Causal Effects of Linguistic Properties.R. Pryzant, D. Card, D. Jurafsky, V. Veitch, and D. Sridhar. CoRR, (2020)The Holdout Randomization Test for Feature Selection in Black Box Models.W. Tansey, V. Veitch, H. Zhang, R. Rabadan, and D. Blei. J. Comput. Graph. Stat., 31 (1): 151-162 (2022)Valid Causal Inference with (Some) Invalid Instruments.J. Hartford, V. Veitch, D. Sridhar, and K. Leyton-Brown. ICML, volume 139 of Proceedings of Machine Learning Research, page 4096-4106. PMLR, (2021)Adapting Neural Networks for the Estimation of Treatment Effects.C. Shi, D. Blei, and V. Veitch. NeurIPS, page 2503-2513. (2019)The Linear Representation Hypothesis and the Geometry of Large Language Models.K. Park, Y. Choe, and V. Veitch. CoRR, (2023)Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests.V. Veitch, A. D'Amour, S. Yadlowsky, and J. Eisenstein. CoRR, (2021)Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.A. Feder, K. Keith, E. Manzoor, R. Pryzant, D. Sridhar, Z. Wood-Doughty, J. Eisenstein, J. Grimmer, R. Reichart, M. Roberts and 3 other author(s). CoRR, (2021)Invariant Representation Learning for Treatment Effect Estimation.C. Shi, V. Veitch, and D. Blei. CoRR, (2020)Using Embeddings to Correct for Unobserved Confounding in Networks.V. Veitch, Y. Wang, and D. Blei. NeurIPS, page 13769-13779. (2019)

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Disambiguation of "Veitch, Victor"

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Underspecification Presents Challenges for Credibility in Modern Machine Learning.

Please choose a person to relate this publication to

Victor Anspach

Victor Grigoriev

Victor Levchenko

Victor Gerds

Victor Zebe

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Veitch, Victor"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Underspecification Presents Challenges for Credibility in Modern Machine Learning.

Please choose a person to relate this publication to

Victor Anspach

Victor Grigoriev

Victor Levchenko

Victor Gerds

Victor Zebe

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Underspecification Presents Challenges for Credibility in Modern Machine Learning.