Nikhil Rao

73 papers A* 19A 7Misc 4Journal 33Unranked 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep Research.
SIGIR
Corbin Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao
2025 J jnl
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.
ACM Trans. Knowl. Discov. Data
Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
2024 — conf
Automatic Pair Construction for Contrastive Post-training.
NAACL-HLT (Findings)
Canwen Xu, Corby Rosset, Ethan C. Chau, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Awadallah, Nikhil Rao
2024 — conf
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
WWW (Companion Volume)
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 J jnl
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
CoRR
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 J jnl
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents.
CoRR
Corby Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao
2023 J jnl
Contrastive Post-training Large Language Models on Data Curriculum.
CoRR
Canwen Xu, Corby Rosset, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao
2023 A* conf
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach.
NeurIPS
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
2023 J jnl
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach.
CoRR
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
2023 A conf
Search Behavior Prediction: A Hypergraph Perspective.
WSDM
Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2023 J jnl
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.
CoRR
Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
2023 J jnl
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction.
CoRR
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2023 J jnl
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction.
Trans. Mach. Learn. Res.
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2022 A* conf
ALLIE: Active Learning on Large-scale Imbalanced Graphs.
WWW
Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee
2022 A conf
ANTHEM: Attentive Hyperbolic Entity Model for Product Search.
WSDM
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022 — conf
AutoGDA: Automated Graph Data Augmentation for Node Classification.
LoG
Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang
2022 A* conf
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.
ICLR
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
2022 A* conf
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance.
KDD
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
2022 A* conf
Hyperbolic Neural Networks: Theory, Architectures and Applications.
KDD
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy
2022 A* conf
Learning Backward Compatible Embeddings.
KDD
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
2022 J jnl
Learning Backward Compatible Embeddings.
CoRR
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
2022 A* conf
Maximizing and Satisficing in Multi-armed Bandits with Graph Information.
NeurIPS
Parth Thaker, Mohit Malu, Nikhil Rao, Gautam Dasarathy
2022 J jnl
Search Behavior Prediction: A Hypergraph Perspective.
CoRR
Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2022 J jnl
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.
CoRR
Chandan K. Reddy, Lluís Màrquez, Fran Valero, Nikhil Rao, Hugo Zaragoza, Sambaran Bandyopadhyay, Arnab Biswas, Anlu Xing, Karthik Subbian
2022 A* conf
Task-Agnostic Graph Explanations.
NeurIPS
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022 J jnl
Task-Agnostic Graph Explanations.
CoRR
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022 J jnl
Text Enriched Sparse Hyperbolic Graph Convolutional Networks.
CoRR
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
2021 A* conf
Bipartite Dynamic Representations for Abuse Detection.
KDD
Andrew Z. Wang, Rex Ying, Pan Li, Nikhil Rao, Karthik Subbian, Jure Leskovec
2021 J jnl
Cluster-and-Conquer: A Framework For Time-Series Forecasting.
CoRR
Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon
2021 J jnl
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.
CoRR
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
2021 A* conf
Finding Needles in Heterogeneous Haystacks.
AAAI
Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian
2021 A* conf
Learning with Little Data: Industry Challenges and Innovations.
SIGIR
Nikhil Rao
2021 A* conf
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.
NeurIPS
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2021 J jnl
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.
CoRR
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2021 J jnl
Pure Exploration in Multi-armed Bandits with Graph Side Information.
CoRR
Parth K. Thaker, Nikhil Rao, Mohit Malu, Gautam Dasarathy
2021 J jnl
Scalable Feature Selection for (Multitask) Gradient Boosted Trees.
CoRR
Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
2021 A* conf
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs.
WWW
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2021 A* conf
Workshop on Data-Efficient Machine Learning (DeMaL).
KDD
Sumeet Katariya, Nikhil Rao, Chandan K. Reddy
2020 A conf
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering.
AISTATS
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
2020 A conf
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms.
WSDM
Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2020 A* conf
Learning Robust Models for e-Commerce Product Search.
ACL
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian
2020 J jnl
Learning Robust Models for e-Commerce Product Search.
CoRR
Thanh Van Nguyen, Nikhil Rao, Karthik Subbian
2020 — conf
Regularized Graph Convolutional Networks for Short Text Classification.
COLING (Industry)
Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar
2020 A conf
Scalable Feature Selection for (Multitask) Gradient Boosted Trees.
AISTATS
Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian
2020 J jnl
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs.
CoRR
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2019 J jnl
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering.
CoRR
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
2018 A* conf
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews.
WWW
Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy
2018 A conf
Dynamic Word Embeddings for Evolving Semantic Discovery.
WSDM
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
2017 J jnl
A Simple Approach to Learn Polysemous Word Embeddings.
CoRR
Yifan Sun, Nikhil Rao, Weicong Ding
2017 J jnl
Discovery of Evolving Semantics through Dynamic Word Embedding Learning.
CoRR
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong
2017 J jnl
Matrix Factorization with Side and Higher Order Information.
CoRR
Vatsal Shah, Nikhil Rao, Weicong Ding
2017 A* conf
On Learning High Dimensional Structured Single Index Models.
AAAI
Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak
2017 Misc conf
The group k-support norm for learning with structured sparsity.
ICASSP
Nikhil Rao, Miroslav Dudík, Zaïd Harchaoui
2016 J jnl
Classification With the Sparse Group Lasso.
IEEE Trans. Signal Process.
Nikhil Rao, Robert D. Nowak, Christopher R. Cox, Timothy T. Rogers
2016 A* conf
Goal-Directed Inductive Matrix Completion.
KDD
Si Si, Kai-Yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon
2016 J jnl
On Learning High Dimensional Structured Single Index Models.
CoRR
Nikhil Rao, Ravi Ganti, Laura Balzano, Rebecca Willett, Robert D. Nowak
2016 — conf
Structured Sparse Regression via Greedy Hard Thresholding.
NIPS
Prateek Jain, Nikhil Rao, Inderjit S. Dhillon
2016 J jnl
Structured Sparse Regression via Greedy Hard-Thresholding.
CoRR
Prateek Jain, Nikhil Rao, Inderjit S. Dhillon
2016 — conf
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction.
NIPS
Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon
2015 — conf
Collaborative Filtering with Graph Information: Consistency and Scalable Methods.
NIPS
Nikhil Rao, Hsiang-Fu Yu, Pradeep Ravikumar, Inderjit S. Dhillon
2015 J jnl
Forward-Backward Greedy Algorithms for Atomic Norm Regularization.
IEEE Trans. Signal Process.
Nikhil Rao, Parikshit Shah, Stephen J. Wright
2015 J jnl
Learning Single Index Models in High Dimensions.
CoRR
Ravi Ganti, Nikhil Rao, Rebecca M. Willett, Robert D. Nowak
2015 J jnl
Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice.
CoRR
Parikshit Shah, Nikhil Rao, Gongguo Tang
2015 — conf
PU matrix completion with graph information.
CAMSAP
Nagarajan Natarajan, Nikhil Rao, Inderjit S. Dhillon
2015 — conf
Sparse and Low-Rank Tensor Decomposition.
NIPS
Parikshit Shah, Nikhil Rao, Gongguo Tang
2015 J jnl
Temporal Regularized Matrix Factorization.
CoRR
Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon
2014 J jnl
Forward - Backward Greedy Algorithms for Atomic Norm Regularization.
CoRR
Nikhil Rao, Parikshit Shah, Stephen J. Wright
2014 Misc conf
Forward - Backward greedy algorithms for signal demixing.
ACSSC
Nikhil Rao, Parikshit Shah, Stephen J. Wright
2013 Misc conf
A greedy forward-backward algorithm for atomic norm constrained minimization.
ICASSP
Nikhil Rao, Parikshit Shah, Stephen J. Wright, Robert D. Nowak
2012 Misc conf
A clustering approach to optimize online dictionary learning.
ICASSP
Nikhil Rao, Fatih Porikli
2012 A conf
Universal Measurement Bounds for Structured Sparse Signal Recovery.
AISTATS
Nikhil Rao, Ben Recht, Robert D. Nowak
2011 J jnl
Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals.
CoRR
Nikhil Rao, Benjamin Recht, Robert D. Nowak