Sloan Nietert

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Salient Image Features

Robust Statistics

Surface Curvature

Extended Abstract

Top Venues

Publications

Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee
Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract). COLT (2024)
Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee
Robust Distribution Learning with Local and Global Adversarial Corruptions. CoRR (2024)
Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee
Outlier-Robust Wasserstein DRO. NeurIPS (2023)
Sloan Nietert, Rachel Cummings, Ziv Goldfeld
Robust Estimation under the Wasserstein Distance. CoRR (2023)
Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee
Outlier-Robust Wasserstein DRO. CoRR (2023)
Sloan Nietert, Ritwik Sadhu, Ziv Goldfeld, Kengo Kato
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances. CoRR (2022)
Sloan Nietert, Ziv Goldfeld, Rachel Cummings
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis. AISTATS (2022)
Nika Haghtalab, Thodoris Lykouris, Sloan Nietert, Alex Wei
Learning in Stackelberg Games with Non-myopic Agents. CoRR (2022)
Sloan Nietert, Ziv Goldfeld, Ritwik Sadhu, Kengo Kato
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances. NeurIPS (2022)
Nika Haghtalab, Thodoris Lykouris, Sloan Nietert, Alexander Wei
Learning in Stackelberg Games with Non-myopic Agents. EC (2022)
Michela Meister, Sloan Nietert
Learning with Comparison Feedback: Online Estimation of Sample Statistics. ALT (2021)
Michela Meister, Sloan Nietert
Learning with Comparison Feedback: Online Estimation of Sample Statistics. CoRR (2021)
Sloan Nietert, Rachel Cummings, Ziv Goldfeld
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis. CoRR (2021)
Sloan Nietert, Ziv Goldfeld, Kengo Kato
Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications. ICML (2021)