Allison Koenecke

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Computational Models

Behavioral Targeting

Top Venues

Nat. Mac. Intell.

Publications

Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf
Mitigating allocative tradeoffs and harms in an environmental justice data tool. Nat. Mac. Intell. 6 (2) (2024)
Allison Koenecke, Anna Seo Gyeong Choi, Katelyn Mei, Hilke Schellmann, Mona Sloane
Careless Whisper: Speech-to-Text Hallucination Harms. CoRR (2024)
Allison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei, Hilke Schellmann, Mona Sloane
Careless Whisper: Speech-to-Text Hallucination Harms. FAccT (2024)
Andrea W. Wen-Yi, Kathryn Adamson, Nathalie Greenfield, Rachel Goldberg, Sandra Babcock, David Mimno, Allison Koenecke
Automate or Assist? The Role of Computational Models in Identifying Gendered Discourse in US Capital Trial Transcripts. CoRR (2024)
Allison Koenecke, Eric Giannella, Robb Willer, Sharad Goel
Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness. ICWSM (2023)
Allison Koenecke, Eric Giannella, Robb Willer, Sharad Goel
Popular Support for Balancing Equity and Efficiency in Resource Allocation: A Case Study in Online Advertising to Increase Welfare Program Awareness. CoRR (2023)
Benjamin Q. Huynh, Elizabeth T. Chin, Allison Koenecke, Derek Ouyang, Daniel E. Ho, Mathew V. Kiang, David H. Rehkopf
Potential for allocative harm in an environmental justice data tool. CoRR (2023)
Hammaad Adam, Fan Yin, Huibin Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations. NeurIPS (2023)
Rock Yuren Pang, Jack Cenatempo, Franklyn Graham, Bridgette Kuehn, Maddy Whisenant, Portia K. Botchway, Katie Stone Perez, Allison Koenecke
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems. FAccT (2023)
Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, Jerone Theodore Alexander Andrews, Rebecca Bourke, William Thong, Dora Zhao, Alice Xiang, Allison Koenecke
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. CoRR (2023)
Hammaad Adam, Fan Yin, Mary Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations. CoRR (2023)
Rock Yuren Pang, Jack Cenatempo, Franklyn Graham, Bridgette Kuehn, Maddy Whisenant, Portia K. Botchway, Katie Stone Perez, Allison Koenecke
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems. CoRR (2023)
Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, Dora Zhao, Jerone Theodore Alexander Andrews, Rebecca Bourke, Alice Xiang, Allison Koenecke
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. FAccT (2023)
J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. FAccT (2022)
J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. CoRR (2022)
Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey
Federated Causal Inference in Heterogeneous Observational Data. CoRR (2021)
Allison Koenecke, Hal R. Varian
Synthetic Data Generation for Economists. CoRR (2020)
Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R. Rickford, Dan Jurafsky, Sharad Goel
Racial disparities in automated speech recognition. Proc. Natl. Acad. Sci. USA 117 (14) (2020)
Allison Koenecke, Jordi Feliu-Fabà
Learning Twitter User Sentiments on Climate Change with Limited Labeled Data. ICWSM Workshops (2020)
Allison Koenecke, Amita Gajewar
Curriculum Learning in Deep Neural Networks for Financial Forecasting. CoRR (2019)
Allison Koenecke, Amita Gajewar
Curriculum Learning in Deep Neural Networks for Financial Forecasting. MIDAS@PKDD (2019)
Allison Koenecke, Jordi Feliu-Fabà
Learning Twitter User Sentiments on Climate Change with Limited Labeled Data. CoRR (2019)