Convex approaches to model wavelet sparsity patterns. - Nikhil S. Rao; Robert D. Nowak; Stephen J. Wright 001; Nick G. Kingsbury (ICIP, 2011)

Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals. - Nikhil Rao 001; Benjamin Recht; Robert D. Nowak (CoRR, 2011)

A clustering approach to optimize online dictionary learning. - Nikhil Rao 001; Fatih Porikli (ICASSP, 2012)

Correlated gaussian designs for compressive imaging. - Nikhil S. Rao; Robert D. Nowak (ICIP, 2012)

Universal Measurement Bounds for Structured Sparse Signal Recovery. - Nikhil Rao 001; Ben Recht; Robert D. Nowak (AISTATS, 2012)

A greedy forward-backward algorithm for atomic norm constrained minimization. - Nikhil Rao 001; Parikshit Shah; Stephen J. Wright 001; Robert D. Nowak (ICASSP, 2013)

Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis. - Nikhil S. Rao; Christopher R. Cox; Robert D. Nowak; Timothy T. Rogers (NIPS, 2013)

Forward - Backward greedy algorithms for signal demixing. - Nikhil Rao 001; Parikshit Shah; Stephen J. Wright 001 (ACSSC, 2014)

Logistic Regression with Structured Sparsity. - Nikhil S. Rao; Robert D. Nowak; Christopher R. Cox; Timothy T. Rogers (CoRR, 2014)

PU matrix completion with graph information. - Nagarajan Natarajan; Nikhil Rao 001; Inderjit S. Dhillon (CAMSAP, 2015)

Collaborative Filtering with Graph Information: Consistency and Scalable Methods. - Nikhil Rao 001; Hsiang-Fu Yu; Pradeep Ravikumar; Inderjit S. Dhillon (NIPS, 2015)

Sparse and Low-Rank Tensor Decomposition. - Parikshit Shah; Nikhil Rao 001; Gongguo Tang (NIPS, 2015)

Learning Single Index Models in High Dimensions. - Ravi Ganti; Nikhil Rao 001; Rebecca M. Willett; Robert D. Nowak (CoRR, 2015)

Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice. - Parikshit Shah; Nikhil Rao 001; Gongguo Tang (CoRR, 2015)

Temporal Regularized Matrix Factorization. - Hsiang-Fu Yu; Nikhil Rao 001; Inderjit S. Dhillon (CoRR, 2015)

Forward-Backward Greedy Algorithms for Atomic Norm Regularization. - Nikhil Rao 001; Parikshit Shah; Stephen J. Wright 001 (IEEE Trans. Signal Process., 2015)

Goal-Directed Inductive Matrix Completion. - Si Si; Kai-Yang Chiang; Cho-Jui Hsieh; Nikhil Rao 001; Inderjit S. Dhillon (KDD, 2016)

Structured Sparse Regression via Greedy Hard Thresholding. - Prateek Jain 002; Nikhil Rao 001; Inderjit S. Dhillon (NIPS, 2016)

Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction. - Hsiang-Fu Yu; Nikhil Rao 001; Inderjit S. Dhillon (NIPS, 2016)

Classification With the Sparse Group Lasso. - Nikhil Rao 001; Robert D. Nowak; Christopher R. Cox; Timothy T. Rogers (IEEE Trans. Signal Process., 2016)

On Learning High Dimensional Structured Single Index Models. - Ravi Ganti; Nikhil Rao 001; Laura Balzano; Rebecca Willett; Robert D. Nowak (AAAI, 2017)

The group k-support norm for learning with structured sparsity. - Nikhil Rao 001; Miroslav Dudík; Zaïd Harchaoui (ICASSP, 2017)

Matrix Factorization with Side and Higher Order Information. - Vatsal Shah; Nikhil Rao 001; Weicong Ding (CoRR, 2017)

A Simple Approach to Learn Polysemous Word Embeddings. - Yifan Sun 001; Nikhil Rao 001; Weicong Ding (CoRR, 2017)

Discovery of Evolving Semantics through Dynamic Word Embedding Learning. - Zijun Yao 001; Yifan Sun 001; Weicong Ding; Nikhil Rao 001; Hui Xiong 001 (CoRR, 2017)

Dynamic Word Embeddings for Evolving Semantic Discovery. - Zijun Yao 001; Yifan Sun 001; Weicong Ding; Nikhil Rao 001; Hui Xiong 001 (WSDM, 2018)

A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. - Vineeth Rakesh; Weicong Ding; Aman Ahuja; Nikhil Rao 001; Yifan Sun 001; Chandan K. Reddy (WWW, 2018)

Identifying Facet Mismatches In Search Via Micrographs. - Sriram Srinivasan 004; Nikhil S. Rao; Karthik Subbian; Lise Getoor (CIKM, 2019)

Learning Robust Models for e-Commerce Product Search. - Thanh V. Nguyen; Nikhil Rao 001; Karthik Subbian (ACL, 2020)

Scalable Feature Selection for (Multitask) Gradient Boosted Trees. - Cuize Han; Nikhil Rao 001; Daria Sorokina; Karthik Subbian (AISTATS, 2020)

Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. - Liwei Wu; Hsiang-Fu Yu; Nikhil Rao 001; James Sharpnack; Cho-Jui Hsieh (AISTATS, 2020)

Regularized Graph Convolutional Networks for Short Text Classification. - Kshitij Tayal; Nikhil Rao 001; Saurabh Agarwal; Xiaowei Jia; Karthik Subbian; Vipin Kumar 001 (COLING (Industry), 2020)

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. - Aman Ahuja; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WSDM, 2020)

Learning Robust Models for e-Commerce Product Search. - Thanh Van Nguyen; Nikhil Rao 001; Karthik Subbian (CoRR, 2020)

Finding Needles in Heterogeneous Haystacks. - Bijaya Adhikari; Liangyue Li; Nikhil Rao 001; Karthik Subbian (AAAI, 2021)

Workshop on Data-Efficient Machine Learning (DeMaL). - Sumeet Katariya; Nikhil Rao 001; Chandan K. Reddy (KDD, 2021)

Bipartite Dynamic Representations for Abuse Detection. - Andrew Z. Wang; Rex Ying; Pan Li 005; Nikhil Rao 001; Karthik Subbian; Jure Leskovec (KDD, 2021)

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (NeurIPS, 2021)

Learning with Little Data: Industry Challenges and Innovations. - Nikhil Rao 001 (SIGIR, 2021)

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WWW, 2021)

Pure Exploration in Multi-armed Bandits with Graph Side Information. - Parth K. Thaker; Nikhil Rao 001; Mohit Malu; Gautam Dasarathy (CoRR, 2021)

Cluster-and-Conquer: A Framework For Time-Series Forecasting. - Reese Pathak; Rajat Sen; Nikhil Rao 001; N. Benjamin Erichson; Michael I. Jordan; Inderjit S. Dhillon (CoRR, 2021)

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. - Wenqing Zheng; Edward W. Huang; Nikhil Rao 001; Sumeet Katariya; Zhangyang Wang; Karthik Subbian (ICLR, 2022)

Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. - Nurendra Choudhary; Nikhil Rao 001; Karthik Subbian; Chandan K. Reddy (KDD, 2022)

Hyperbolic Neural Networks: Theory, Architectures and Applications. - Nurendra Choudhary; Nikhil Rao 001; Karthik Subbian; Srinivasan H. Sengamedu; Chandan K. Reddy (KDD, 2022)

Learning Backward Compatible Embeddings. - Weihua Hu; Rajas Bansal; Kaidi Cao; Nikhil Rao 001; Karthik Subbian; Jure Leskovec (KDD, 2022)

AutoGDA: Automated Graph Data Augmentation for Node Classification. - Tong Zhao 003; Xianfeng Tang; Danqing Zhang; Haoming Jiang; Nikhil Rao 001; Yiwei Song; Pallav Agrawal; Karthik Subbian; Bing Yin; Meng Jiang 001 (LoG, 2022)

Maximizing and Satisficing in Multi-armed Bandits with Graph Information. - Parth Thaker; Mohit Malu; Nikhil Rao 001; Gautam Dasarathy (NeurIPS, 2022)

Task-Agnostic Graph Explanations. - Yaochen Xie; Sumeet Katariya; Xianfeng Tang; Edward W. Huang; Nikhil Rao 001; Karthik Subbian; Shuiwang Ji (NeurIPS, 2022)

ANTHEM: Attentive Hyperbolic Entity Model for Product Search. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WSDM, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

ALLIE: Active Learning on Large-scale Imbalanced Graphs. - Limeng Cui; Xianfeng Tang; Sumeet Katariya; Nikhil Rao 001; Pallav Agrawal; Karthik Subbian; Dongwon Lee 001 (WWW, 2022)

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. - Chandan K. Reddy; Lluís Màrquez; Fran Valero; Nikhil Rao 001; Hugo Zaragoza; Sambaran Bandyopadhyay; Arnab Biswas; Anlu Xing; Karthik Subbian (CoRR, 2022)

Text Enriched Sparse Hyperbolic Graph Convolutional Networks. - Nurendra Choudhary; Nikhil Rao 001; Karthik Subbian; Chandan K. Reddy (CoRR, 2022)

Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. - Nurendra Choudhary; Nikhil Rao 001; Chandan K. Reddy (NeurIPS, 2023)

Search Behavior Prediction: A Hypergraph Perspective. - Yan Han 001; Edward W. Huang; Wenqing Zheng; Nikhil Rao 001; Zhangyang Wang; Karthik Subbian (WSDM, 2023)

Contrastive Post-training Large Language Models on Data Curriculum. - Canwen Xu; Corby Rosset; Luciano Del Corro; Shweti Mahajan; Julian J. McAuley; Jennifer Neville; Ahmed Hassan Awadallah; Nikhil Rao 001 (CoRR, 2023)

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. - Wenqing Zheng; Edward W. Huang; Nikhil Rao 001; Zhangyang Wang; Karthik Subbian (Trans. Mach. Learn. Res., 2023)

Automatic Pair Construction for Contrastive Post-training. - Canwen Xu; Corby Rosset; Ethan C. Chau; Luciano Del Corro; Shweti Mahajan; Julian J. McAuley; Jennifer Neville; Ahmed Awadallah 001; Nikhil Rao 001 (NAACL-HLT (Findings), 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents. - Corby Rosset; Ho-Lam Chung; Guanghui Qin; Ethan C. Chau; Zhuo Feng; Ahmed Awadallah 001; Jennifer Neville; Nikhil Rao 001 (CoRR, 2024)

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep Research. - Corbin Rosset; Ho-Lam Chung; Guanghui Qin; Ethan C. Chau; Zhuo Feng; Ahmed Awadallah 001; Jennifer Neville; Nikhil Rao 001 (SIGIR, 2025)

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. - Jiong Zhu; Aishwarya Reganti; Edward W. Huang; Charles Dickens; Nikhil Rao 001; Karthik Subbian; Danai Koutra (ACM Trans. Knowl. Discov. Data, 2025)