‪Anand Brahmbhatt‬ - ‪Google 学术搜索‬

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引用次数

	总计	2019 年至今
引用	3	3
h 指数	1	1
i10 指数	0	0

0

2

1

202320241 2

合著作者

Aravindan RaghuveerGoogle Research在 google.com 的电子邮件经过验证
Rishi SaketGoogle Research在 google.com 的电子邮件经过验证
Parag SinglaIndian Institute of Technology Delhi在 cse.iitd.ac.in 的电子邮件经过验证
Anshul NaseryUniversity of Washington在 uw.edu 的电子邮件经过验证
Shreyas HavaldarPre-Doctoral Researcher at Google Research India在 google.com 的电子邮件经过验证
MausamProfessor of Computer Science & Engineering, Indian Institute of Technology Delhi在 cs.washington.edu 的电子邮件经过验证

Anand Brahmbhatt

Anand Brahmbhatt

Pre-Doctoral Researcher @ Google Research India

在 google.com 的电子邮件经过验证 - 首页

Learning Theory Generalization Differential Privacy Fairness in ML


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Llp-bench: A large scale tabular benchmark for learning from label proportions A Brahmbhatt, M Pokala, R Saket, A Raghuveer arXiv preprint arXiv:2310.10096, 2023	2	2023
Towards Fair and Calibrated Models A Brahmbhatt, V Rathore, P Singla arXiv preprint arXiv:2310.10399, 2023	1	2023
PAC Learning Linear Thresholds from Label Proportions A Brahmbhatt, R Saket, A Raghuveer Advances in Neural Information Processing Systems 36, 2024		2024
Label Differential Privacy via Aggregation A Brahmbhatt, R Saket, S Havaldar, A Nasery, A Raghuveer arXiv preprint arXiv:2310.10092, 2023		2023

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