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Seth Neel
Seth Neel
Asst Professor, Harvard University
Verified email at hbs.edu - Homepage
Title
Cited by
Cited by
Year
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
M Kearns, S Neel, A Roth, ZS Wu
International Conference on Machine Learning (ICML 18), 2018
5132018
A convex framework for fair regression
R Berk, H Heidari, S Jabbari, M Joseph, M Kearns, J Morgenstern, S Neel, ...
Fairness, Accountability, and Transparency in Machine Learning (FATML 17), 2017
2292017
Fair algorithms for infinite and contextual bandits
M Joseph, M Kearns, J Morgenstern, S Neel, A Roth
AAAI/AIES 18, 2018
141*2018
An empirical study of rich subgroup fairness for machine learning
M Kearns, S Neel, A Roth, ZS Wu
Conference on Fairness, Accountability, and Transparency (FAT* 19), 2019
1252019
Accuracy first: Selecting a differential privacy level for accuracy constrained erm
K Ligett, S Neel, A Roth, B Waggoner, SZ Wu
Advances in Neural Information Processing Systems (NEURIPS 17), 2017
732017
Eliciting and enforcing subjective individual fairness
C Jung, M Kearns, S Neel, A Roth, L Stapleton, ZS Wu
Symposium on Foundations of Responsible Computing (FORC), 2021
66*2021
Fair algorithms for learning in allocation problems
H Elzayn, S Jabbari, C Jung, M Kearns, S Neel, A Roth, Z Schutzman
Conference on Fairness, Accountability, and Transparency (FAT* 19), 2019
602019
Descent-to-delete: Gradient-based methods for machine unlearning
S Neel, A Roth, S Sharifi-Malvajerdi
The 32nd International Conference on Algorithmic Learning Theory, 2021
582021
The Role of Interactivity in Local Differential Privacy
M Joseph, J Mao, S Neel, A Roth
Foundations of Computer Science (FOCS 19), 2019
582019
A New Analysis of Differential Privacy's Generalization Guarantees
C Jung, K Ligett, S Neel, A Roth, S Sharifi-Malvajerdi, M Shenfeld
Innovations in Theoretical Computer Science (ITCS), Spotlight, 2020
312020
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
S Neel, A Roth
International Conference on Machine Learning (ICML 18), 2018
292018
Adaptive Machine Unlearning
V Gupta, C Jung, S Neel, A Roth, S Sharifi-Malvajerdi, C Waites
NEURIPS 2021, 2021
232021
Aztec castles and the dP3 quiver
M Leoni, G Musiker, S Neel, P Turner
Journal of Physics A: Mathematical and Theoretical 47 (47), 474011, 2014
212014
How to Use Heuristics for Differential Privacy
S Neel, A Roth, SZ Wu
Foundations of Computer Science (FOCS 19), 2018
192018
Oracle efficient private non-convex optimization
S Neel, A Roth, G Vietri, S Wu
International Conference on Machine Learning, 7243-7252, 2020
10*2020
Optimal, Truthful, and Private Securities Lending
E Diana, M Kearns, S Neel, A Roth
ACM Conference on AI in Finance CAIF20, NEURIPS19 Workshop on Robust AI in …, 2020
12020
Mahalanobis Matching and Equal Percent Bias Reduction
SV Neel
Harvard College, 2015
12015
Binary Quadratic Forms and the Ideal Class Group
SV Neel
Lecture Notes, Harvard University, 2012
12012
Private Regression In Multiple Outcomes (PRIMO)
S Neel
journalprivacyconfidentiality.org, 2022
2022
PhD Thesis -- Towards Ethical Machine Learning: New Algorithms for Fairness and Privacy
SV Neel
PQDT-UK & Ireland, 2020
2020
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