Francesca Dominici

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Bayesian Model Selection

Top Venues

J. Mach. Learn. Res.

ACM Trans. Knowl. Discov. Data

Publications

Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici
E(n) Equivariant Topological Neural Networks. CoRR (2024)
Ethan McFarlin, Falco J. Bargagli Stoffi, Edgar Castro, Joel Schwartz, Francesca Dominici, Heresh Amini
Air quality disparities mapper: An open-source web application for environmental justice. Environ. Model. Softw. 172 (2024)
Mauricio Tec, Kevin Josey, Oladimeji Mudele, Francesca Dominici
Causal Estimation of Exposure Shifts with Neural Networks and an Application to Inform Air Quality Standards in the US. KDD (2024)
Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici
SpaCE: The Spatial Confounding Environment. ICLR (2024)
Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici
SpaCE: The Spatial Confounding Environment. CoRR (2023)
Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec
Optimizing Heat Alert Issuance for Public Health in the United States with Reinforcement Learning. CoRR (2023)
Mauricio Tec, Oladimeji Mudele, Kevin Josey, Francesca Dominici
Causal Shift-Response Functions with Neural Networks: The Health Benefits of Lowering Air Quality Standards in the US. CoRR (2023)
Tanujit Dey, Jaechoul Lee, Sounak Chakraborty, Jay Chandra, Anushka Bhaskar, Kenneth Zhang, Anchal Bhaskar, Francesca Dominici
Lag time between state-level policy interventions and change points in COVID-19 outcomes in the United States. Patterns 2 (8) (2021)
Fei Jiang, Guosheng Yin, Francesca Dominici
Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions. ACM Trans. Knowl. Discov. Data 13 (5) (2019)
Aaron Fisher, Cynthia Rudin, Francesca Dominici
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously. J. Mach. Learn. Res. 20 (2019)
M. Benjamin Sabath, Qian Di, Danielle Braun, Joel Schwartz, Francesca Dominici, Christine Choirat
Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution. DSAA (2018)
M. Benjamin Sabath, Qian Di, Danielle Braun, Francesca Dominici, Christine Choirat
aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution. CoRR (2018)
Fei Jiang, Guosheng Yin, Francesca Dominici
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors. NeurIPS (2018)