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ORCIDLucas Rosenblatt
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2020 – today
- 2024
[j9]Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich:
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. SIGMOD Rec. 53(1): 65-74 (2024)- [c7]Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco:
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy. AAAI 2024: 21554-21562 - [c6]R. Teal Witter, Lucas Rosenblatt:
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives. AAAI 2024: 22429-22437 - [c5]Robert Wolfe
, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe:
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. FAccT 2024: 1199-1210 - [i12]Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Brown, Zening Qu, Nic Weber, Bill Howe:
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. CoRR abs/2405.16820 (2024) - [i11]Cameron Musco, Christopher Musco, Lucas Rosenblatt, Apoorv Vikram Singh:
Sharper Bounds for Chebyshev Moment Matching with Applications to Differential Privacy and Beyond. CoRR abs/2408.12385 (2024) - [i10]Lucas Rosenblatt, R. Teal Witter:
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness. CoRR abs/2410.02005 (2024) - 2023
- [j8]Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich:
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. Proc. VLDB Endow. 16(11): 3178-3191 (2023) - [c4]Lucas Rosenblatt, R. Teal Witter:
Counterfactual Fairness Is Basically Demographic Parity. AAAI 2023: 14461-14469 - [c3]Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Zakharchenko, Lucas Rosenblatt, Julia Stoyanovich:
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice. FAccT 2023: 400-422 - [i9]Lorena Piedras, Lucas Rosenblatt, Julia Wilkins:
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI. CoRR abs/2301.01874 (2023) - [i8]Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Herasymova, Lucas Rosenblatt, Julia Stoyanovich:
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice. CoRR abs/2302.06347 (2023) - [i7]Lucas Rosenblatt, Bin Han, Erin Posthumus, Theresa Crimmins, Bill Howe:
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology. CoRR abs/2310.00740 (2023) - [i6]R. Teal Witter, Lucas Rosenblatt:
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives. CoRR abs/2312.07680 (2023) - [i5]Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco:
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy. CoRR abs/2312.11712 (2023) - 2022
- [i4]Lucas Rosenblatt, Joshua Allen, Julia Stoyanovich:
Spending Privacy Budget Fairly and Wisely. CoRR abs/2204.12903 (2022) - [i3]Lucas Rosenblatt, R. Teal Witter:
Counterfactual Fairness Is Basically Demographic Parity. CoRR abs/2208.03843 (2022) - [i2]Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, Bill Howe:
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. CoRR abs/2208.12700 (2022) - 2021
- [j7]Lucas Rosenblatt:
Towards a Non-classical Meta-theory for Substructural Approaches to Paradox. J. Philos. Log. 50(5): 1007-1055 (2021) - [j6]H. M. Sajjad Hossain, Marc T. Friedman, Hiren Patel, Shi Qiao, Soundar Srinivasan, Markus Weimer, Remmelt Ammerlaan, Lucas Rosenblatt, Gilbert Antonius, Peter Orenberg, Vijay Ramani, Abhishek Roy, Irene Shaffer, Alekh Jindal:
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! Proc. VLDB Endow. 14(13): 3362-3375 (2021) - 2020
- [i1]Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo de Leon, Anuj Desai, Joshua Allen:
Differentially Private Synthetic Data: Applied Evaluations and Enhancements. CoRR abs/2011.05537 (2020)
2010 – 2019
- 2019
- [j5]Lucas Rosenblatt:
Noncontractive Classical Logic. Notre Dame J. Formal Log. 60(4): 559-585 (2019) - 2018
- [j4]Bruno Da Ré, Lucas Rosenblatt:
Contraction, Infinitary Quantifiers, and Omega Paradoxes. J. Philos. Log. 47(4): 611-629 (2018) - [c2]Lucas Rosenblatt, Patrick Carrington, Kotaro Hara, Jeffrey P. Bigham:
Vocal Programming for People with Upper-Body Motor Impairments. W4A 2018: 30:1-30:10 - 2017
- [c1]Lucas Rosenblatt:
VocalIDE: An IDE for Programming via Speech Recognition. ASSETS 2017: 417-418 - 2015
- [j3]Eduardo Alejandro Barrio, Lucas Rosenblatt, Diego Tajer:
The Logics of Strict-Tolerant Logic. J. Philos. Log. 44(5): 551-571 (2015) - [j2]Federico Matias Pailos, Lucas Rosenblatt:
Non-deterministic Conditionals and Transparent Truth. Stud Logica 103(3): 579-598 (2015) - 2014
- [j1]Lucas Rosenblatt, Damián Enrique Szmuc:
On pathological Truths. Rev. Symb. Log. 7(4): 601-617 (2014)
Coauthor Index
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