Taman Narayan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Quantile Regression

Top Venues

J. Mach. Learn. Res.

Trans. Mach. Learn. Res.

Publications

Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation. Trans. Mach. Learn. Res. 2024 (2024)
Taman Narayan, Heinrich Jiang, Sen Zhao, Sanjiv Kumar
Predicting on the Edge: Identifying Where a Larger Model Does Better. CoRR (2022)
Taman Narayan, Serena Wang, Kevin Robert Canini, Maya R. Gupta
Regularization Strategies for Quantile Regression. CoRR (2021)
Maya R. Gupta, Erez Louidor, Oleksandr Mangylov, Nobu Morioka, Taman Narayan, Sen Zhao
Multidimensional Shape Constraints. ICML (2020)
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Erez Louidor, James Muller, Taman Narayan, Serena Wang, Tao Zhu
Shape Constraints for Set Functions. ICML (2019)
Andrew Cotter, Heinrich Jiang, Maya R. Gupta, Serena Wang, Taman Narayan, Seungil You, Karthik Sridharan
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. J. Mach. Learn. Res. 20 (2019)
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, James Muller, Taman Narayan, Serena Wang, Tao Zhu
Interpretable Set Functions. CoRR (2018)
Andrew Cotter, Heinrich Jiang, Serena Wang, Taman Narayan, Maya R. Gupta, Seungil You, Karthik Sridharan
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. CoRR (2018)