@article{rosenblatt2023simple,title={A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy},author={Rosenblatt, Lucas and Stoyanovich, Julia and Musco, Christopher},year={2024},journal={Proceedings of AAAI},}
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives
@article{witter2023i,title={I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives},author={Witter, R. Teal and Rosenblatt, Lucas},year={2024},journal={Proceedings of AAAI},}
2023
Counterfactual Fairness Is Basically Demographic Parity
@article{rosenblatt2022counterfactual,title={Counterfactual Fairness Is Basically Demographic Parity},author={Rosenblatt, Lucas and Witter, R Teal},journal={Proceedings of AAAI},year={2023},}
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy
Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, and Bill Howe
@article{rosenblatt2022epistemic,title={Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy},author={Rosenblatt, Lucas and Holovenko, Anastasia and Rumezhak, Taras and Stadnik, Andrii and Herman, Bernease and Stoyanovich, Julia and Howe, Bill},journal={Proceedings of the VLDB Endowment},year={2023},}
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice
Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Herasymova, Lucas Rosenblatt, and Julia Stoyanovich
Proceedings of the Conference on Fairness, Accountability, and Transparency (ACM FAccT) 2023
@article{bell2023possibility,title={The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice},author={Bell, Andrew and Bynum, Lucius and Drushchak, Nazarii and Herasymova, Tetiana and Rosenblatt, Lucas and Stoyanovich, Julia},journal={Proceedings of the Conference on Fairness, Accountability, and Transparency (ACM FAccT)},year={2023},}
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology
Lucas Rosenblatt, Bin Han, Erin Posthumus, Theresa Crimmins, and Bill Howe
Tackling Climate Change with Machine Learning @ NeurIPS 2023
@article{rosenblatt2023top,title={Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology},author={Rosenblatt, Lucas and Han, Bin and Posthumus, Erin and Crimmins, Theresa and Howe, Bill},journal={Tackling Climate Change with Machine Learning @ NeurIPS},year={2023},}
2022
Spending Privacy Budget Fairly and Wisely
Lucas Rosenblatt, Joshua Allen, and Julia Stoyanovich
Theory and Practice of Differential Privacy 2022 (@ICML) 2022
@article{rosenblatt2022spending,title={Spending Privacy Budget Fairly and Wisely},author={Rosenblatt, Lucas and Allen, Joshua and Stoyanovich, Julia},journal={Theory and Practice of Differential Privacy 2022 (@ICML)},year={2022},}
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI
Lucas Rosenblatt, Lorena Piedras, and Julia Wilkins
In Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI) 2022
@inproceedings{rosenblatt2022critical,title={Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI},author={Rosenblatt, Lucas and Piedras, Lorena and Wilkins, Julia},booktitle={Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI)},pages={15--24},year={2022},}
2021
PerfGuard: deploying ML-for-systems without performance regressions, almost!
Remmelt Ammerlaan, Gilbert Antonius, Marc Friedman, HM Sajjad Hossain, Alekh Jindal, Peter Orenberg, Hiren Patel, Shi Qiao, Vijay Ramani, Lucas Rosenblatt, and others
@article{ammerlaan2021perfguard,title={PerfGuard: deploying ML-for-systems without performance regressions, almost!},author={Ammerlaan, Remmelt and Antonius, Gilbert and Friedman, Marc and Hossain, HM Sajjad and Jindal, Alekh and Orenberg, Peter and Patel, Hiren and Qiao, Shi and Ramani, Vijay and Rosenblatt, Lucas and others},journal={Proceedings of the VLDB Endowment},volume={14},number={13},pages={3362--3375},year={2021},publisher={VLDB Endowment},}
2020
Differentially private synthetic data: Applied evaluations and enhancements
Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo Leon, Anuj Desai, and Joshua Allen
@article{rosenblatt2020differentially,title={Differentially private synthetic data: Applied evaluations and enhancements},author={Rosenblatt, Lucas and Liu, Xiaoyan and Pouyanfar, Samira and de Leon, Eduardo and Desai, Anuj and Allen, Joshua},journal={arXiv preprint arXiv:2011.05537},year={2020},}
PerfGuard: Deploying ML-for-Systems without Performance Regressions
HM Sajjad Hossain, Lucas Rosenblatt, Gilbert Antonius, Irene Shaffer, Remmelt Ammerlaan, Abhishek Roy, Markus Weimer, Hiren Patel, Marc Friedman, Shi Qiao, Peter Orenberg, and others
@article{hossain2020perfguard,title={PerfGuard: Deploying ML-for-Systems without Performance Regressions},author={Hossain, HM Sajjad and Rosenblatt, Lucas and Antonius, Gilbert and Shaffer, Irene and Ammerlaan, Remmelt and Roy, Abhishek and Weimer, Markus and Patel, Hiren and Friedman, Marc and Qiao, Shi and Orenberg, Peter and others},journal={MLOps},year={2020},}
2018
Vocal programming for people with upper-body motor impairments
Lucas Rosenblatt, Patrick Carrington, Kotaro Hara, and Jeffrey P Bigham
In Proceedings of the 15th International Web for All Conference 2018
@inproceedings{rosenblatt2018vocal,title={Vocal programming for people with upper-body motor impairments},author={Rosenblatt, Lucas and Carrington, Patrick and Hara, Kotaro and Bigham, Jeffrey P},booktitle={Proceedings of the 15th International Web for All Conference},pages={1--10},year={2018},}
2017
Vocalide: An ide for programming via speech recognition
Lucas Rosenblatt
In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility 2017
@inproceedings{rosenblatt2017vocalide,title={Vocalide: An ide for programming via speech recognition},author={Rosenblatt, Lucas},booktitle={Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility},pages={417--418},year={2017},}
