Lucas Rosenblatt

44 papers A* 7A 1Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exactly Computing do-Shapley Values. CoRR R. Teal Witter, Álvaro Parafita, Tomas Garriga, Maximilian Muschalik, Fabian Fumagalli, Axel Brando, Lucas Rosenblatt
2026	J	`jnl`	Explanation Multiplicity in SHAP: Characterization and Assessment. CoRR Hyunseung Hwang, Seungeun Lee, Lucas Rosenblatt, Steven Euijong Whang, Julia Stoyanovich
2026	J	`jnl`	Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data. CoRR Lucas Rosenblatt, Peihan Liu, Ryan McKenna, Natalia Ponomareva
2026	J	`jnl`	Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation. CoRR Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar
2025	A*	`conf`	Differential Privacy Under Class Imbalance: Methods and Empirical Insights. ICML Lucas Rosenblatt, Yuliia Lut, Ethan Turok, Marco Avella Medina, Rachel Cummings
2025	J	`jnl`	Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data. CoRR Shlomi Hod, Lucas Rosenblatt, Julia Stoyanovich
2025	A*	`conf`	Fragments to Facts: Partial-Information Fragment Inference from LLMs. ICML Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe
2025	J	`jnl`	Fragments to Facts: Partial-Information Fragment Inference from LLMs. CoRR Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe
2025	J	`jnl`	How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy. CoRR Natalia Ponomareva, Zheng Xu, H. Brendan McMahan, Peter Kairouz, Lucas Rosenblatt, Vincent Cohen-Addad, Cristóbal Guzmán, Ryan McKenna, Galen Andrew, Alex Bie, Da Yu, Alex Kurakin, Morteza Zadimoghaddam, Sergei Vassilvitskii, Andreas Terzis
2025	A*	`conf`	Sharper Bounds for Chebyshev Moment Matching, with Applications. COLT Cameron Musco, Christopher Musco, Lucas Rosenblatt, Apoorv Vikram Singh
2025	J	`jnl`	SimKey: A Semantically Aware Key Module for Watermarking Language Models. CoRR Shingo Kodama, Haya Diwan, Lucas Rosenblatt, R. Teal Witter, Niv Cohen
2025	A*	`conf`	We Are AI: Taking Control of Technology. AAAI Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan
2025	J	`jnl`	We Are AI: Taking Control of Technology. CoRR Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan
2024	A*	`conf`	A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy. AAAI Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco
2024	J	`jnl`	Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives. CoRR Lucas Rosenblatt, Bill Howe, Julia Stoyanovich
2024	J	`jnl`	Differential Privacy Under Class Imbalance: Methods and Empirical Insights. CoRR Lucas Rosenblatt, Yuliia Lut, Eitan Turok, Marco Avella-Medina, Rachel Cummings
2024	J	`jnl`	Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. SIGMOD Rec. Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
2024	J	`jnl`	FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness. CoRR Lucas Rosenblatt, R. Teal Witter
2024	A*	`conf`	I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives. AAAI R. Teal Witter, Lucas Rosenblatt
2024	—	`conf`	Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. FAccT Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe
2024	J	`jnl`	Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. CoRR Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Brown, Zening Qu, Nic Weber, Bill Howe
2024	J	`jnl`	Sharper Bounds for Chebyshev Moment Matching with Applications to Differential Privacy and Beyond. CoRR Cameron Musco, Christopher Musco, Lucas Rosenblatt, Apoorv Vikram Singh
2023	J	`jnl`	A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy. CoRR Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco
2023	A*	`conf`	Counterfactual Fairness Is Basically Demographic Parity. AAAI Lucas Rosenblatt, R. Teal Witter
2023	J	`jnl`	Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI. CoRR Lorena Piedras, Lucas Rosenblatt, Julia Wilkins
2023	J	`jnl`	Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. Proc. VLDB Endow. Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich
2023	J	`jnl`	I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives. CoRR R. Teal Witter, Lucas Rosenblatt
2023	—	`conf`	The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice. FAccT Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Zakharchenko, Lucas Rosenblatt, Julia Stoyanovich
2023	J	`jnl`	The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice. CoRR Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Herasymova, Lucas Rosenblatt, Julia Stoyanovich
2023	J	`jnl`	Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology. CoRR Lucas Rosenblatt, Bin Han, Erin Posthumus, Theresa Crimmins, Bill Howe
2022	J	`jnl`	Counterfactual Fairness Is Basically Demographic Parity. CoRR Lucas Rosenblatt, R. Teal Witter
2022	J	`jnl`	Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. CoRR Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, Bill Howe
2022	J	`jnl`	Spending Privacy Budget Fairly and Wisely. CoRR Lucas Rosenblatt, Joshua Allen, Julia Stoyanovich
2021	J	`jnl`	PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! Proc. VLDB Endow. 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
2021	J	`jnl`	Towards a Non-classical Meta-theory for Substructural Approaches to Paradox. J. Philos. Log. Lucas Rosenblatt
2020	J	`jnl`	Differentially Private Synthetic Data: Applied Evaluations and Enhancements. CoRR Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo de Leon, Anuj Desai, Joshua Allen
2019	J	`jnl`	Noncontractive Classical Logic. Notre Dame J. Formal Log. Lucas Rosenblatt
2018	J	`jnl`	Contraction, Infinitary Quantifiers, and Omega Paradoxes. J. Philos. Log. Bruno Da Ré, Lucas Rosenblatt
2018	—	`conf`	Vocal Programming for People with Upper-Body Motor Impairments. W4A Lucas Rosenblatt, Patrick Carrington, Kotaro Hara, Jeffrey P. Bigham
2017	A	`conf`	VocalIDE: An IDE for Programming via Speech Recognition. ASSETS Lucas Rosenblatt
2015	J	`jnl`	Non-deterministic Conditionals and Transparent Truth. Stud Logica Federico Pailos, Lucas Rosenblatt
2015	J	`jnl`	The Logics of Strict-Tolerant Logic. J. Philos. Log. Eduardo Alejandro Barrio, Lucas Rosenblatt, Diego Tajer
2015	J	`jnl`	Two-valued logics for naive truth theory. Australas. J. Log. Lucas Rosenblatt
2014	J	`jnl`	On pathological Truths. Rev. Symb. Log. Lucas Rosenblatt, Damián Enrique Szmuc