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2020 – today
- 2024
[c8]Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan:
The PetShop Dataset - Finding Causes of Performance Issues across Microservices. CLeaR 2024: 957-978- 2023
- [c7]Bijan Mazaheri, Atalanti-Anastasia Mastakouri, Dominik Janzing, Michaela Hardt:
Causal information splitting: Engineering proxy features for robustness to distribution shifts. UAI 2023: 1401-1411 - [i7]Bijan Mazaheri, Atalanti-Anastasia Mastakouri, Dominik Janzing, Mila Hardt:
Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts. CoRR abs/2305.05832 (2023) - [i6]Elias Eulig, Atalanti-Anastasia Mastakouri, Patrick Blöbaum, Michaela Hardt, Dominik Janzing:
Toward Falsifying Causal Graphs Using a Permutation-Based Test. CoRR abs/2305.09565 (2023) - [i5]Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Elke Kirschbaum:
The PetShop Dataset - Finding Causes of Performance Issues across Microservices. CoRR abs/2311.04806 (2023) - 2022
- [c6]Leena Chennuru Vankadara, Philipp Michael Faller, Michaela Hardt, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing:
Causal forecasting: generalization bounds for autoregressive models. UAI 2022: 2002-2012 - 2021
- [c5]Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi:
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. KDD 2021: 2974-2983 - [i4]Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi:
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. CoRR abs/2109.03285 (2021) - 2020
- [c4]Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt:
Linear Dynamics: Clustering without identification. AISTATS 2020: 918-929 - [c3]Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt:
Explaining an increase in predicted risk for clinical alerts. CHIL 2020: 80-89
2010 – 2019
- 2019
- [i3]Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt:
Explaining an increase in predicted risk for clinical alerts. CoRR abs/1907.04911 (2019) - [i2]Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt:
Linear Dynamics: Clustering without identification. CoRR abs/1908.01039 (2019) - 2018
- [j2]Alvin Rajkomar
, Andrew M. Dai, Mimi Sun, Michaela Hardt, Kai Chen, Kathryn Rough, Jeffrey Dean:
Reply: metrics to assess machine learning models. npj Digit. Medicine 1 (2018) - [j1]Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Gregory S. Corrado, Jeffrey Dean:
Scalable and accurate deep learning with electronic health records. npj Digit. Medicine 1 (2018) - [i1]Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc V. Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Greg Corrado, Jeff Dean:
Scalable and accurate deep learning for electronic health records. CoRR abs/1801.07860 (2018) - 2012
- [c2]Michaela Hardt, Suman Nath:
Privacy-aware personalization for mobile advertising. CCS 2012: 662-673 - [c1]Istemi Ekin Akkus, Ruichuan Chen, Michaela Hardt, Paul Francis, Johannes Gehrke:
Non-tracking web analytics. CCS 2012: 687-698
Coauthor Index
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