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Veridical Data Science

Veridical Data Science

23 January 2019
Bin Yu
Karl Kumbier
ArXivPDFHTML

Papers citing "Veridical Data Science"

12 / 12 papers shown
Title
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
Abhineet Agarwal
Michael Xiao
Rebecca L. Barter
Omer Ronen
Boyu Fan
Bin Yu
34
0
0
13 May 2025
A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System
Qijun Chen
Shaofan Li
51
0
0
07 Mar 2025
An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data Science
An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data Science
Qiuhai Zeng
Claire Jin
Xinyue Wang
Yuhan Zheng
Qunhua Li
48
0
0
23 Feb 2025
Building a stable classifier with the inflated argmax
Building a stable classifier with the inflated argmax
Jake A. Soloff
Rina Foygel Barber
Rebecca Willett
114
2
0
22 May 2024
Generalized Data Thinning Using Sufficient Statistics
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi
Anna Neufeld
Keshav Motwani
Lucy L. Gao
Daniela Witten
Jacob Bien
30
13
0
22 Mar 2023
Reward Design For An Online Reinforcement Learning Algorithm Supporting
  Oral Self-Care
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
S. Murphy
OnRL
16
19
0
15 Aug 2022
The $s$-value: evaluating stability with respect to distributional
  shifts
The sss-value: evaluating stability with respect to distributional shifts
Suyash Gupta
Dominik Rothenhausler
36
16
0
07 May 2021
The Shapley Value of coalition of variables provides better explanations
Salim I. Amoukou
Nicolas Brunel
Tangi Salaun
FAtt
TDI
11
5
0
24 Mar 2021
Landscape of R packages for eXplainable Artificial Intelligence
Landscape of R packages for eXplainable Artificial Intelligence
Szymon Maksymiuk
Alicja Gosiewska
P. Biecek
XAI
30
21
0
24 Sep 2020
Next Waves in Veridical Network Embedding
Next Waves in Veridical Network Embedding
Owen G. Ward
Zhen Huang
Andrew Davison
Tian Zheng
GNN
11
5
0
10 Jul 2020
Federated Accelerated Stochastic Gradient Descent
Federated Accelerated Stochastic Gradient Descent
Honglin Yuan
Tengyu Ma
FedML
25
171
0
16 Jun 2020
Learning stable and predictive structures in kinetic systems: Benefits
  of a causal approach
Learning stable and predictive structures in kinetic systems: Benefits of a causal approach
Niklas Pfister
Stefan Bauer
J. Peters
CML
20
40
0
28 Oct 2018
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