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2020 – today
- 2024
[c12]Hansa Srinivasan
, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen:
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. FAccT 2024: 797-821- [c11]Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard S. Zemel:
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift. ICML 2024 - [c10]Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren:
Learning and Forgetting Unsafe Examples in Large Language Models. ICML 2024 - [i14]Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen:
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. CoRR abs/2401.14322 (2024) - [i13]Benjamin Eyre, David Madras:
Auto-Evaluation with Few Labels through Post-hoc Regression. CoRR abs/2411.12665 (2024) - 2023
- [i12]Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren:
Learning and Forgetting Unsafe Examples in Large Language Models. CoRR abs/2312.12736 (2023) - [i11]Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard S. Zemel:
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift. CoRR abs/2312.17463 (2023) - 2022
- [c9]Sindy Löwe, David Madras, Richard S. Zemel, Max Welling:
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. CLeaR 2022: 509-525 - 2021
- [c8]David Madras, Richard S. Zemel:
Identifying and Benchmarking Natural Out-of-Context Prediction Problems. NeurIPS 2021: 15344-15358 - [i10]David Madras, Richard S. Zemel:
Identifying and Benchmarking Natural Out-of-Context Prediction Problems. CoRR abs/2110.13223 (2021) - 2020
- [c7]David Madras, James Atwood, Alexander D'Amour:
Detecting Extrapolation with Local Ensembles. ICLR 2020 - [c6]Elliot Creager, David Madras, Toniann Pitassi, Richard S. Zemel:
Causal Modeling for Fairness In Dynamical Systems. ICML 2020: 2185-2195 - [i9]Sindy Löwe, David Madras, Richard S. Zemel, Max Welling:
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. CoRR abs/2006.10833 (2020) - [i8]Robert Adragna, Elliot Creager, David Madras, Richard S. Zemel:
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification. CoRR abs/2011.06485 (2020)
2010 – 2019
- 2019
- [c5]David Madras, Elliot Creager, Toniann Pitassi, Richard S. Zemel:
Fairness through Causal Awareness: Learning Causal Latent-Variable Models for Biased Data. FAT 2019: 349-358 - [c4]Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard S. Zemel:
Flexibly Fair Representation Learning by Disentanglement. ICML 2019: 1436-1445 - [i7]Elliot Creager, David Madras, Jörn-Henrik Jacobsen, Marissa A. Weis, Kevin Swersky, Toniann Pitassi, Richard S. Zemel:
Flexibly Fair Representation Learning by Disentanglement. CoRR abs/1906.02589 (2019) - [i6]Elliot Creager, David Madras, Toniann Pitassi, Richard S. Zemel:
Causal Modeling for Fairness in Dynamical Systems. CoRR abs/1909.09141 (2019) - [i5]David Madras, James Atwood, Alex D'Amour:
Detecting Extrapolation with Local Ensembles. CoRR abs/1910.09573 (2019) - 2018
- [c3]David Madras, Toniann Pitassi, Richard S. Zemel:
Predict Responsibly: Increasing Fairness by Learning to Defer. ICLR (Workshop) 2018 - [c2]David Madras, Elliot Creager, Toniann Pitassi, Richard S. Zemel:
Learning Adversarially Fair and Transferable Representations. ICML 2018: 3381-3390 - [c1]David Madras, Toniann Pitassi, Richard S. Zemel:
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer. NeurIPS 2018: 6150-6160 - [i4]David Madras, Elliot Creager, Toniann Pitassi, Richard S. Zemel:
Learning Adversarially Fair and Transferable Representations. CoRR abs/1802.06309 (2018) - [i3]David Madras, Elliot Creager, Toniann Pitassi, Richard S. Zemel:
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data. CoRR abs/1809.02519 (2018) - 2017
- [i2]David Madras, Toniann Pitassi, Richard S. Zemel:
Predict Responsibly: Increasing Fairness by Learning To Defer. CoRR abs/1711.06664 (2017) - 2016
- [i1]Stephanie Allen, David Madras, Ye Ye, Greg Zanotti:
Change-point Detection Methods for Body-Worn Video. CoRR abs/1610.06453 (2016)
Coauthor Index
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