Anup Rao

Senior Research Scientist II

San Jose

Anup B. Rao is a Senior Research Scientist II at Adobe Research, where he has contributed for the past seven years. His research spans a diverse range of areas within Randomization, Optimization, and Learning. Currently, his primary interest lies in understanding the fundamental principles of Generative AI, with the goal of developing improved and more efficient models. This focus builds upon his recent work in experimentation, including A/B testing and coreset development, and the application of these principles to language models. His work reflects a strong commitment to both theoretical foundations and practical applications.

 

Publications

Decentralized Personalized Online Federated Learning

Wu, Renzhi., Mitra, Saayan., Chen, Xiang., Rao, Anup. (Nov. 8, 2023)

IEEE Initernational Conference on Big Data

One-pass algorithms for map inference of nonsymmetric determinantal point processes

Reddy, Aravind., Rossi, Ryan., Song, Zhao., Rao, Anup., Mai, Tung., Lipka, Nedim., Wu, Gang., Koh, Eunyee., Ahmed, Nesreen. (Mar. 28, 2022)

International Conference on Machine Learning (ICML)

From closing triangles to higher-order motif closures for better unsupervised online link prediction

Rossi, Ryan., Rao, Anup., Kim, Sungchul., Koh, Eunyee., Ahmed, Nesreen., Wu, Gang. (Oct. 26, 2021)

ACM International Conference on Information & Knowledge Management (CIKM)