Veridical Data Science

23 January 2019

Papers citing "Veridical Data Science"

22 / 22 papers shown

Title
An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data Science Qiuhai Zeng Claire Jin Xinyue Wang Yuhan Zheng Qunhua Li 146 1 0 23 Feb 2025
Building a stable classifier with the inflated argmax Jake A. Soloff Rina Foygel Barber Rebecca Willett 334 3 0 22 May 2024
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance J. Donnelly Srikar Katta Cynthia Rudin E. Browne FAtt 121 18 0 24 Sep 2023
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 85 2 0 19 Sep 2023
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance Christoph Jansen Malte Nalenz G. Schollmeyer Thomas Augustin 69 15 0 05 Sep 2022
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care Anna L. Trella Kelly W. Zhang Inbal Nahum-Shani Vivek Shetty Finale Doshi-Velez Susan Murphy OnRL 77 21 0 15 Aug 2022
Honest calibration assessment for binary outcome predictions Timo Dimitriadis L. Duembgen A. Henzi Marius Puke J. Ziegel 379 10 0 08 Mar 2022
Cluster Stability Selection Gregory Faletto Jacob Bien 63 5 0 03 Jan 2022
Learning from learning machines: a new generation of AI technology to meet the needs of science L. Pion-Tonachini K. Bouchard Héctor García Martín S. Peisert W. B. Holtz ... Rick L. Stevens Mark Anderson Ken Kreutz-Delgado Michael W. Mahoney James B. Brown 71 8 0 27 Nov 2021
The $s$ -value: evaluating stability with respect to distributional shifts Suyash Gupta Dominik Rothenhausler 100 16 0 07 May 2021
Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications Eunice Jun M. Birchfield Nicole de Moura Jeffrey Heer René Just 68 15 0 06 Apr 2021
The Shapley Value of coalition of variables provides better explanations Salim I. Amoukou Nicolas Brunel Tangi Salaun FAtt TDI 51 5 0 24 Mar 2021
Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests Merle Behr Yu Wang Xiao Li Bin Yu 75 13 0 23 Feb 2021
Landscape of R packages for eXplainable Artificial Intelligence Szymon Maksymiuk Alicja Gosiewska P. Biecek XAI 83 22 0 24 Sep 2020
Stable discovery of interpretable subgroups via calibration in causal studies Raaz Dwivedi Yan Shuo Tan Briton Park Mian Wei Kevin Horgan D. Madigan Bin Yu CML 54 30 0 23 Aug 2020
Deconfounding and Causal Regularization for Stability and External Validity Peter Buhlmann Domagoj Cevid CML 54 11 0 14 Aug 2020
Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited Timo Dimitriadis T. Gneiting Alexander I. Jordan 80 64 0 07 Aug 2020
Next Waves in Veridical Network Embedding Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 124 5 0 10 Jul 2020
Revisiting minimum description length complexity in overparameterized models Raaz Dwivedi Chandan Singh Bin Yu Martin J. Wainwright 72 5 0 17 Jun 2020
Federated Accelerated Stochastic Gradient Descent Honglin Yuan Tengyu Ma FedML 104 180 0 16 Jun 2020
Interpretable Random Forests via Rule Extraction Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet 49 59 0 29 Apr 2020
Learning stable and predictive structures in kinetic systems: Benefits of a causal approach Niklas Pfister Stefan Bauer J. Peters CML 64 41 0 28 Oct 2018