Rao, Nikhil

18 publications

NeurIPS 2023 Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach Nurendra Choudhary, Nikhil Rao, Chandan Reddy

ICMLW 2023 Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu, Aishwarya Naresh Reganti, Edward W Huang, Charles Andrew Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra

TMLR 2023 You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian

LoG 2022 AutoGDA: Automated Graph Data Augmentation for Node Classification Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang

ICLR 2022 Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng, Edward W Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian

NeurIPS 2022 Maximizing and Satisficing in Multi-Armed Bandits with Graph Information Parth Thaker, Mohit Malu, Nikhil Rao, Gautam Dasarathy

NeurIPS 2022 Task-Agnostic Graph Explanations Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji

AAAI 2021 Finding Needles in Heterogeneous Haystacks Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian

NeurIPS 2021 Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan Reddy

AISTATS 2020 Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh

AISTATS 2020 Scalable Feature Selection for (Multitask) Gradient Boosted Trees Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian

AAAI 2017 On Learning High Dimensional Structured Single Index Models Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak

NeurIPS 2016 Structured Sparse Regression via Greedy Hard Thresholding Prateek Jain, Nikhil Rao, Inderjit S Dhillon

NeurIPS 2016 Temporal Regularized Matrix Factorization for High-Dimensional Time Series Prediction Hsiang-Fu Yu, Nikhil Rao, Inderjit S Dhillon

NeurIPS 2015 Collaborative Filtering with Graph Information: Consistency and Scalable Methods Nikhil Rao, Hsiang-Fu Yu, Pradeep K Ravikumar, Inderjit S Dhillon

NeurIPS 2015 Sparse and Low-Rank Tensor Decomposition Parikshit Shah, Nikhil Rao, Gongguo Tang

NeurIPS 2013 Sparse Overlapping Sets Lasso for Multitask Learning and Its Application to fMRI Analysis Nikhil Rao, Christopher Cox, Rob Nowak, Timothy T. Rogers

AISTATS 2012 Universal Measurement Bounds for Structured Sparse Signal Recovery Nikhil Rao, Ben Recht, Robert Nowak